Artificial Intelligence Review

, Volume 43, Issue 1, pp 1–54 | Cite as

Vision based hand gesture recognition for human computer interaction: a survey

Article

Abstract

As computers become more pervasive in society, facilitating natural human–computer interaction (HCI) will have a positive impact on their use. Hence, there has been growing interest in the development of new approaches and technologies for bridging the human–computer barrier. The ultimate aim is to bring HCI to a regime where interactions with computers will be as natural as an interaction between humans, and to this end, incorporating gestures in HCI is an important research area. Gestures have long been considered as an interaction technique that can potentially deliver more natural, creative and intuitive methods for communicating with our computers. This paper provides an analysis of comparative surveys done in this area. The use of hand gestures as a natural interface serves as a motivating force for research in gesture taxonomies, its representations and recognition techniques, software platforms and frameworks which is discussed briefly in this paper. It focuses on the three main phases of hand gesture recognition i.e. detection, tracking and recognition. Different application which employs hand gestures for efficient interaction has been discussed under core and advanced application domains. This paper also provides an analysis of existing literature related to gesture recognition systems for human computer interaction by categorizing it under different key parameters. It further discusses the advances that are needed to further improvise the present hand gesture recognition systems for future perspective that can be widely used for efficient human computer interaction. The main goal of this survey is to provide researchers in the field of gesture based HCI with a summary of progress achieved to date and to help identify areas where further research is needed.

Keywords

Hand Gesture recognition Human computer interaction Representations Recognition Natural interfaces 

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References

  1. Alijanpour N, Ebrahimnezhad H, Ebrahimi A (2008) Inner distance based hand gesture recognition for devices control. In: International conference on innovations in information technology, pp 742–746Google Scholar
  2. Alon J, Athitsos V, Yuan Q, Sclaroff S (2005) Simultaneous localization and recognition of dynamic hand gestures. In: IEEE workshop on motion and video computing (WACV/MOTION’05), pp 254–260Google Scholar
  3. Alon J, Athitsos V, Yuan Q, Sclaroff S (2009) A unified framework for gesture recognition and spatiotemporal gesture segmentation. IEEE Trans Pattern Analy Mach Intell 31(9): 1685–1699CrossRefGoogle Scholar
  4. Alpern M, Minardo K (2003) Developing a car gesture interface for use as a secondary task. In: CHI ’03 extended abstracts on human factors in computing systems. ACM Press, pp 932–933Google Scholar
  5. Andrea C (2001) Dynamic time warping for offline recognition of a small gesture vocabulary. In: Proceedings of the IEEE ICCV workshop on recognition, analysis, and tracking of faces and gestures in real-time systems, July–August, p 83Google Scholar
  6. Appenrodt J, Handrich S, Al-Hamadi A, Michaelis B (2010) Multi stereo camera data fusion for fingertip detection in gesture recognition systems. In: International conference of soft computing and pattern recognition (SoCPaR), 2010, pp 35–40Google Scholar
  7. Argyros A, Lourakis MIA (2004a) Real-time tracking of multiple skin-colored objects with a possibly moving camera. In: Proceedings of the European conference on computer vision, Prague, pp 368–379Google Scholar
  8. Argyros A, Lourakis MIA (2004b) 3D tracking of skin-colored regions by a moving stereoscopic observer. Appl Opt 43(2): 366–378CrossRefGoogle Scholar
  9. Argyros A, Lourakis MIA (2006) Binocular hand tracking and reconstruction based on 2D shape matching. In: Proceedings of the international conference on pattern recognition (ICPR), Hong-KongGoogle Scholar
  10. Bandera JP, Marfil R, Bandera A, Rodríguez JA, Molina-Tanco L, Sandoval F (2009) Fast gesture recognition based on a two-level representation. Pattern Recogn Lett 30: 1181–1189CrossRefGoogle Scholar
  11. Bao J, Song A, Guo Y, Tang H (2011) Dynamic hand gesture recognition based on SURF tracking. In: International conference on electric information and control engineering (ICEICE), pp 338–341Google Scholar
  12. Baxter J (2000) A model of inductive bias learning. J Artif Intell Res 12: 149–198MathSciNetMATHGoogle Scholar
  13. Bellarbi A, Benbelkacem S, Zenati-Henda N, Belhocine M (2011) Hand gesture interaction using color-based method for Tabletop interfaces. In: IEEE 7th international symposium on intelligent signal processing (WISP), pp 1–6Google Scholar
  14. Belongie S, Malik J, Puzicha J (2002) Shape matching and object recognition using shape contexts. IEEE Trans Pattern Anal Mach Intell 24(4): 509–522CrossRefGoogle Scholar
  15. Berci N, Szolgay P (2007) Vision based human–machine interface via hand gestures. In: 18th European conference on circuit theory and design (ECCTD 2007), pp 496–499Google Scholar
  16. Bergh M, Gool L (2011) Combining RGB and ToF cameras for real-time 3D hand gesture interaction. In: Workshop on applications of computer vision (WACV), IEEE, pp 66–72Google Scholar
  17. Bergh MV, Meier EK, Bosch’e F, Gool LV (2009) Haarlet-based hand gesture recognition for 3D interaction, workshop on applications of computer vision (WACV), pp 1–8Google Scholar
  18. Bernardes J, Nakamura R, Tori R (2009) Design and implementation of a flexible hand gesture command interface for games based on computer vision. In: 8th Brazilian symposium on digital games and entertainment, pp 64–73Google Scholar
  19. Berry G (1998) Small-wall, a multimodal human computer intelligent interaction test bed with applications, Dept. of ECE, University of Illinois at Urbana-Champaign, MS thesisGoogle Scholar
  20. Bhuyan MK, Ghoah D, Bora PK (2006) A framework for hand gesture recognition with applications to sign language. In: Annual IEEE India conference, pp 1–6Google Scholar
  21. Bimbo AD, Landucci L, Valli A (2006) Multi-user natural interaction system based on real-time hand tracking and gesture recognition. In: 18th International conference on pattern recognition (ICPR’06), pp 55–58Google Scholar
  22. Binh ND, Ejima T (2006) A new approach dedicated to hand gesture recognition. In: 5th IEEE international conference on cognitive informatics (ICCI’06), pp 62–67Google Scholar
  23. Birdal A, Hassanpour R (2008) Region based hand gesture recognition. In: 16th International conference in central Europe on computer graphics, visualization and computer vision, pp 1–7Google Scholar
  24. Birk H, Moeslund TB, Madsen CB (1997) Real-time recognition of hand alphabet gestures using principal component analysis. In: Proceedings of the Scandinavian conference on image analysis, LappeenrantaGoogle Scholar
  25. Blake A, North B, Isard M (1999) Learning multi-class dynamics. In: Proceedings advances in neural information processing systems (NIPS), vol 11, pp 389–395Google Scholar
  26. Bolt RA, Herranz E (1992) Two-handed gesture in multi-modal natural dialog. In: Proceedings of the 5th annual ACM symposium on user interface software and technology, ACM Press, pp 7–14Google Scholar
  27. Boulay B (2007) Human posture recognition for behavior understanding. PhD thesis, Universit’e de Nice-Sophia AntipolisGoogle Scholar
  28. Bourke A, O’Brien J, Lyons G (2007) Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm. Gait & Posture 26(2):194–199. http://www.sciencedirect.com/science/article/B6T6Y-4MBCJHV-1/2/f87e4f1c82f3f93a3a5692357e3fe00c
  29. Bowden R, Zisserman A, Kadir T, Brady M (2003) Vision based interpretation of natural sign languages. In: Exhibition at ICVS03: the 3rd international conference on computer vision systems. ACM Press, pp 1–2Google Scholar
  30. Bradski G (1998) Real time face and object tracking as a component of a perceptual user interface. In: IEEE workshop on applications of computer vision. Los Alamitos, California, pp 214–219Google Scholar
  31. Bradski G, Kaehler A (2008) Learning OpenCV, O‘Reilly, pp 337–341Google Scholar
  32. Bretzner L, Laptev I, Lindeberg T (2002) Hand gesture recognition using multi-scale colour features, hierarchical models and particle filtering. In: Fifth IEEE international conference on automatic face and gesture recognition, pp 405–410. doi:10.1109/AFGR.2002.1004190
  33. Buchmann V, Violich S, Billinghurst M, Cockburn A (2004) Fingartips: gesture based direct manipulation in augmented reality. In: 2nd international conference on computer graphics and interactive techniques, ACM Press, pp 212–221Google Scholar
  34. Burges CJC (1998) A tutorial on support vector machines for pattern recognition. Kluwer, Boston, pp 1–43Google Scholar
  35. Cao X, Balakrishnan R (2003) Visionwand: interaction techniques for large displays using a passive wand tracked in 3d. In: ‘UIST ’03: proceedings of the 16th annual ACM symposium on User Interface software and technology. ACM Press, New York, pp 173–182Google Scholar
  36. Chai D, Ngan K (1998) Locating the facial region of a head and-shoulders color image. In: IEEE international conference on automatic face and gesture recognition, pp 124–129, PiscatawayGoogle Scholar
  37. Chalechale A, Naghdy G (2007) Visual-based human–machine interface using hand gestures. In: 9th International symposium on signal processing and its applications (ISSPA 2007), pp 1–4Google Scholar
  38. Chalechale A, Safaei F, Naghdy G, Premaratn P (2005) Hand gesture selection and recognition for visual-based human–machine interface. In: IEEE international conference on electro information technology, pp 1–6Google Scholar
  39. Chang CC (2006) Adaptive multiple sets of CSS features for hand posture recognition. Neuro Comput 69: 2017–2025Google Scholar
  40. Charniak E (1993) Statistical language learning. MIT Press, CambridgeGoogle Scholar
  41. Chatty S, Lecoanet P (1996) Pen computing for air traffic control. In: Proceedings of the SIGCHI conference on Human factors in computing systems, ACM Press, pp 87–94Google Scholar
  42. Chaudhary A, Raheja JL, Das K, Raheja S (2011) Intelligent approaches to interact with machines using hand gesture recognition in natural way: a survey. Int J Comput Sci Eng Survey (IJCSES) 2(1): 122–133CrossRefGoogle Scholar
  43. Chen YT, Tseng KT (2007) Developing a multiple-angle hand gesture recognition system for human machine interactions. In: 33rd annual conference of the IEEE industrial electronics society (IECON), pp 489–492Google Scholar
  44. Chen Q, Georganas ND, Petriu EM (2007) Real-time vision-based hand gesture recognition using Haar-like features. In: Conference on instrumentation and measurement technology (IMTC 2007), pp 1–6Google Scholar
  45. Chen Q, Georganas ND, Petriu M (2008) Hand gesture recognition using Haar-like features and a stochastic context-free grammar. IEEE Trans Instrum Meas 57(8): 1562–1571CrossRefGoogle Scholar
  46. Cheng J, Xie X, Bian W, Tao D (2012) Feature fusion for 3D hand gesture recognition by learning a shared hidden space. Pattern Recogn Lett 33: 476–484CrossRefGoogle Scholar
  47. Choras RS (2009) Hand shape and hand gesture recognition. In: IEEE symposium on industrial electronics and applications (ISIEA 2009), pp 145–149Google Scholar
  48. Chung WK, Wu X, Xu Y (2009) A real time hand gesture recognition based on Haar wavelet representation. In: International conference on robotics and biomimetics, Bangkok, pp 336–341Google Scholar
  49. Cohen PR, Johnston M, McGee D, Oviatt S, Pittman J, Smith I, Chen L, Clow J (1997) Quickset: multimodal interaction for distributed applications. In: Proceedings of the fifth ACM international conference on Multimedia, ACM Press, pp 31–40Google Scholar
  50. Conci N, Ceresato P, De Natale FGB (2007) Natural human–machine interface using an interactive virtual blackboard. In: IEEE international conference on image processing, pp 181–184Google Scholar
  51. Cootes TF, Taylor CJ (1992) Active shape models smart snakes. In: British machine vision conference, pp 266–275Google Scholar
  52. Cootes TF, Taylor CJ, Cooper DH, Graham J (1995) Active shape models—their training and applications. Comput Vis Image Underst 61(1): 38–59CrossRefGoogle Scholar
  53. Corera S, Krishnarajah N (2011) Capturing hand gesture movement: a survey on tools techniques and logical considerations. In: Proceedings of Chi Sparks 2011 HCI research, innovation and implementation, Arnhem, Netherlands. http://proceedings.chi-sparks.nl/documents/Education-Gestures/FP-35-AC-EG.pdf
  54. Cote M, Payeur P, Comeau G (2006) Comparative study of adaptive segmentation techniques for gesture analysis in unconstrained environments. In: IEEE international workshop on imagining systems and techniques, pp 28–33Google Scholar
  55. Crowley JL, Jolle Coutaz FB (2000) Perceptual user interfaces: things that see. Commun ACM 43(3): 54–64CrossRefGoogle Scholar
  56. Crowley J, Berard F, Coutaz J (1995) Finger tracking as an input device for augmented reality. In: International workshop on gesture and face recognition, ZurichGoogle Scholar
  57. Cui Y, Weng J (1996) Hand sign recognition from intensity image sequences with complex background. In: Proceedings of the IEEE computer vision and pattern recognition (CVPR), pp 88–93Google Scholar
  58. Cui Y, Swets D, Weng J (1995) Learning-based hand sign recognition using shoslf-m. In: International workshop on automatic face and gesture recognition, Zurich, pp 201–206Google Scholar
  59. Cutler R, Turk M (1998) View-based interpretation of real-time optical flow for gesture recognition. In: Proceedings of the international conference on face and gesture recognition. IEEE Computer Society, Washington, pp 416–421Google Scholar
  60. Darrell T, Essa I, Pentland A (1996) Task-specific gesture analysis in real-time using interpolated views. IEEE Trans Pattern Anal Mach Intell 18(12): 1236–1242CrossRefGoogle Scholar
  61. Davis JW, Vaks S (2001) A perceptual user interface for recognizing head gesture acknowledgements. In: Proceedings of the 2001 workshop on perceptive user interfaces. ACM Press, pp 1–7Google Scholar
  62. De Tan T, Geo ZM (2011) Research of hand positioning and gesture recognition based on binocular vision. In: EEE international symposium on virtual reality innovation 2011, pp 311–315Google Scholar
  63. Deng LY, Lee DL, Keh HC, Liu YJ (2010) Shape context based matching for hand gesture recognition. In: IET international conference on frontier computing. Theory, technologies and applications, pp 436–444Google Scholar
  64. Derpanis KG (2004) A review of vision-based hand gestures. http://cvr.yorku.ca/members/gradstudents/kosta/publications/file_Gesture_review.pdf
  65. Derpanis KG (2005) Mean shift clustering, Lecture Notes. http://www.cse.yorku.ca/~kosta/CompVis_Notes/mean_shift.pdf
  66. Du H, Xiong W, Wang Z (2011) Modeling and interaction of virtual hand based on virtools. In: International conference on multimedia technology (ICMT), pp 416–419Google Scholar
  67. Eamonn K, Pazzani MJ (2001) Derivative dynamic time warping. In: First international SIAM international conference on data mining, ChicagoGoogle Scholar
  68. Elmezain M, Al-Hamadi A, Michaelis B (2009) Hand trajectory-based gesture spotting and recognition using HMM. In: 16th IEEE international conference on image processing (ICIP 2009), pp 3577–3580Google Scholar
  69. Elmezain M, Al-Hamadi A, Sadek S, Michaelis M (2010) Robust methods for hand gesture spotting and recognition using hidden Markov models and conditional random fields. In: IEEE international symposium on signal processing and information technology (ISSPIT), pp 133–136Google Scholar
  70. EyeSight’s (2012) http://www.eyesight-tech.com/
  71. Fang G, Gao W, Zhao D (2003) Large vocabulary sign language recognition based on hierarchical decision trees. In: Proceedings of the 5th international conference on multimodal interfaces. ACM Press, pp 125–131Google Scholar
  72. Fang Y, Wang K, Cheng J, Lu H (2007) A real-time hand gesture recognition method. In: IEEE international conference on multimedia and expo, pp 995–998Google Scholar
  73. Ferscha A, Resmerita S, Holzmann C, Reichor M (2005) Orientation sensing for gesture-based interaction with smart artifacts. Comput Commun 28: 1552–1563CrossRefGoogle Scholar
  74. Forsberg A, Dieterich M, Zeleznik R (1998) The music notepad. In: Proceedings of the 11th annual ACM symposium on user interface software and technology, ACM Press, pp 203–210Google Scholar
  75. Francois R, Medioni G (1999) Adaptive color background modeling for real-time segmentation of video streams. In: International conference on imaging science, systems, and technology, Las Vegas, pp 227–232Google Scholar
  76. Freeman W, Weissman C (1995) Television control by hand gestures. In: International workshop on automatic face and gesture recognition, Zurich, pp 179–183Google Scholar
  77. Freeman W, Tanaka K, Ohta J, Kyuma K (1996) Computer vision for computer games. In: Proceedings of the second international conference on automatic face and gesture recognition, pp 100–105Google Scholar
  78. Freund Y, Schapire R (1997) A decision-theoretic generalization of on-line learning and an application to boosting. J Comput Syst Sci 55(1): 119–139CrossRefMathSciNetMATHGoogle Scholar
  79. Friedman J, Hastie T, Tibshiranim R (2000) Additive logistic regression: a statistical view of boosting. Ann Stat 28(2): 337–374CrossRefMATHGoogle Scholar
  80. Gandy M, Starner T, Auxier J, Ashbrook D (2000) The gesture pendant: a self illuminating, wearable, infrared computer vision system for home automation control and medical monitoring. In: ‘4th IEEE international symposium on wearable computers, IEEE Computer Society, pp 87–94Google Scholar
  81. Gastaldi G, Pareschi A, Sabatini SP, Solari F, Bisio GM (2005) A man-machine communication system based on the visual analysis of dynamic gestures. In: IEEE international conference on image processing (ICIP 2005), pp 397–400Google Scholar
  82. Gavrila DM, Davis LS (1995) Towards 3-d model-based tracking and recognition of human movement: multi-view approach. In: IEEE international workshop on automatic face- and gesture recognition. IEEE Computer Society, Zurich, pp 272–277Google Scholar
  83. Ge SS, Yang Y, Lee TH (2006) Hand gesture recognition and tracking based on distributed locally linear embedding. In: IEEE conference on robotics, automation and mechatronics, pp 1–6Google Scholar
  84. Ge SS, Yang Y, Lee TH (2008) Hand gesture recognition and tracking based on distributed locally linear embedding. Image Vis Comput 26:1607–1620Google Scholar
  85. GestureTek (2008) http://www.gesturetek.com/
  86. Gorce MDL, Fleet DJ, Paragios N (2011) Model-based 3D hand pose estimation from monocular video. IEEE Trans Pattern Anal Mach Intell 33(9): 1793–1805CrossRefGoogle Scholar
  87. Goza SM, Ambrose RO, Diftler MA, Spain IM (2004) Telepresence control of the nasa/darpa robonaut on a mobility platform. In: Conference on human factors in computing systems. ACM Press, pp 623–629Google Scholar
  88. Graetzel C, Fong TW, Grange S, Baur C (2004) A non-contact mouse for surgeon-computer interaction. Technol Health Care 12(3): 245–257Google Scholar
  89. Habib HA, Mufti M (2006) Real time mono vision gesture based virtual keyboard system. IEEE Trans Consumer Electron 52(4):1261–1266Google Scholar
  90. Hackenberg G, McCall R, Broll W (2011) Lightweight palm and finger tracking for real-time 3D gesture control. In: IEEE virtual reality conference (VR), pp 19–26Google Scholar
  91. Hall ET (1973) The silent language. Anchor Books. ISBN-13: 978-0385055499Google Scholar
  92. Hardenberg CV, Berard F (2001) Bare-hand human–computer interaction. Proceedings of the ACM workshop on perceptive user interfaces. ACM Press, pp 113–120Google Scholar
  93. He GF, Kang SK, Song WC, Jung ST (2011) Real-time gesture recognition using 3D depth camera. In: 2nd International conference on software engineering and service science (ICSESS), pp 187–190Google Scholar
  94. Heap T, Hogg D (1996) Towards 3D hand tracking using a deformable model. In: IEEE international conference automatic face and gesture recognition, Killington, pp 140–145Google Scholar
  95. Henia OB, Bouakaz S (2011) 3D Hand model animation with a new data-driven method. In: Workshop on digital media and digital content management, IEEE, pp 72–76Google Scholar
  96. Ho MF, Tseng CY, Lien CC, Huang CL (2011) A multi-view vision- based hand motion capturing system. Pattern Recogn 44: 443–453CrossRefMATHGoogle Scholar
  97. Holzmann GJ (1925) Finite state machine: Ebook. http://www.spinroot.com/spin/Doc/Book91_PDF/F1.pdf
  98. Hossain M, Jenkin M (2005) Recognizing hand-raising gestures using HMM. In: 2nd Canadian conference on computer and robot vision (CRV’05), pp 405–412Google Scholar
  99. Howe LW, Wong F, Chekima A (2008) Comparison of hand segmentation methodologies for hand gesture recognition. In: International symposium on information technology (ITSim 2008), pp 1–7Google Scholar
  100. Hsieh CC, Liou DH, Lee D (2010) A real time hand gesture recognition system using motion history image. In: 2nd International conference on signal processing systems (ICSPS), pp 394–398Google Scholar
  101. Hu K, Canavan S, Yin L (2010) Hand pointing estimation for human computer interaction based on two orthogonal-views. In: International conference on pattern recognition 2010, pp 3760–3763Google Scholar
  102. Huang S, Hong J (2011) Moving object tracking system based on camshift and Kalman filter. In: International conference on consumer electronics, communications and networks (CECNet), pp 1423–1426Google Scholar
  103. Huang D, Tang W, Ding Y, Wan T, Wu X, Chen Y (2011a) Motion capture of hand movements using stereo vision for minimally invasive vascular interventions. In: Sixth international conference on image and graphics, pp 737–742Google Scholar
  104. Huang DY, Hu WC, Chang SH (2011b) Gabor filter-based hand-pose angle estimation for hand gesture recognition under varying illumination. Expert Syst Appl 38(5):6031–6042Google Scholar
  105. Iannizzotto G, Villari M, Vita L (2001) Hand tracking for human-computer interaction with gray level visual glove: turning back to the simple way. In: Workshop on perceptive user interfaces, ACM digital library, ISBN 1-58113-448-7Google Scholar
  106. Ibarguren A, Maurtua I, Sierra B (2010) Layered architecture for real time sign recognition: hand gesture and movement. Eng Appl Artif Intell 23: 1216–1228CrossRefGoogle Scholar
  107. iGesture (2012) http://www.igesture.org/
  108. Ionescu D, Ionescu B, Gadea C, Islam S (2011a) A multimodal interaction method that combines gestures and physical game controllers. In: Proceedings of 20th international conference on computer communications and networks (ICCCN), IEEE, pp 1–6Google Scholar
  109. Ionescu D, Ionescu B, Gadea C, Islam S (2011b) An intelligent gesture interface for controlling TV sets and set-top boxes. In: 6th IEEE international symposium on applied computational intelligence and informatics, pp 159–164Google Scholar
  110. Isard M, Blake A (1998) Condensation—conditional density propagation for visual tracking. Int J Comput Vis 29(1): 5–28CrossRefGoogle Scholar
  111. Joslin C, Sawah AE, Chen Q, Georganas N (2005) Dynamic gesture recognition. In: Conference on instrumentation and measurement technology, pp 1706–1711Google Scholar
  112. Ju SX, Black MJ, Minneman S, Kimber D (1997) Analysis of gesture and action in technical talks for video indexing, Technical report, American Association for Artificial Intelligence. AAAI Technical Report SS-97-03Google Scholar
  113. Juang CF, Ku KC (2005) A recurrent fuzzy network for fuzzy temporal sequence processing and gesture recognition. IEEE Trans Syst Man Cybern Part B Cybern 35(4): 646–658CrossRefGoogle Scholar
  114. Juang CF, Ku KC, Chen SK (2005) Temporal hand gesture recognition by fuzzified TSK-type recurrent fuzzy network. In: International joint conference on neural networks, pp 1848–1853Google Scholar
  115. Just A, Marcel S (2009) A comparative study of two state-of-the-art sequence processing techniques for hand gesture recognition. Comput Vis Image Underst 113: 532–543CrossRefGoogle Scholar
  116. Kalman RE (1960) A new approach to linear filtering and prediction problems. Trans ASME J Basic Eng 82: 35–42CrossRefGoogle Scholar
  117. Kampmann M (1998) Segmentation of a head into face, ears, neck and hair for knowledge-based analysis-synthesis coding of video-phone sequences. In: Proceedings of the international conference on image processing (ICIP), vol 2, Chicago, pp 876–880Google Scholar
  118. Kanniche MB (2009) Gesture recognition from video sequences. PhD Thesis, University of NiceGoogle Scholar
  119. Kanungo T, Mount DM, Netanyahu NS, Piatko CD, Silverman R, Wu AY (2002) An efficient k-means clustering algorithm: analysis and implementation. IEEE Trans Pattern Anal Mach Intell 24(7): 881–892CrossRefGoogle Scholar
  120. Kapralos B, Hogue A, Sabri H (2007) Recognition of hand raising gestures for a remote learning application. In: Eight international workshop on image analysis for multimedia interactive services (WIAMIS’07), pp 1–4Google Scholar
  121. Karam M (2006) A framework for research and design of gesture-based human computer interactions. PhD Thesis, University of SouthamptonGoogle Scholar
  122. Keogh E, Ratanamahatana CA (2005) Exact indexing of dynamic time warping. Knowl Inf Syst 7(3): 358–386CrossRefGoogle Scholar
  123. Kevin NYY, Ranganath S, Ghosh D (2004) Trajectory modeling in gesture recognition using cybergloves and magnetic trackers. In: TENCON 2004. IEEE region 10 conference, pp 571–574Google Scholar
  124. Konrad T, Demirdjian D, Darrell T (2003) Gesture + play: full-body interaction for virtual environments. In: ‘CHI ’03 extended abstracts on human factors in computing systems. ACM Press, pp 620–621Google Scholar
  125. Kurata T, Okuma T, Kourogi M, Sakaue K (2001) The hand mouse: GMM hand-color classification and mean shift track-ing. In: International workshop on recognition, analysis and tracking of faces and gestures in real-time systems, Vancouver, pp 119–124Google Scholar
  126. Kuzmanić A, Zanchi V (2007) Hand shape classification using DTW and LCSS as similarity measures for vision-based gesture recognition system. In: International conference on “Computer as a Tool (EUROCON 2007)”, pp 264–269Google Scholar
  127. Laptev I, Lindeberg T (2001) Tracking of multi-state hand models using particle filtering and a hierarchy of multi-scale image features. In: Proceedings of the sScale-space’01, volume 2106 of Lecture Notes in Computer Science, p 63Google Scholar
  128. Lee DH, Hong KS (2010) Game interface using hand gesture recognition. In: 5th international conference on computer sciences and convergence information technology (ICCIT), pp 1092–1097Google Scholar
  129. Lee H-K, Kim JH (1999) An hmm-based threshold model approach for gesture recognition. IEEE Trans Pattern Anal Mach Intell 21(10): 961–973CrossRefGoogle Scholar
  130. Lee J, Kunii TL (1995) Model-based analysis of hand posture. IEEE Comput Graphics Appl 15(5): 77–86CrossRefGoogle Scholar
  131. Lee D, Park Y (2009) Vision-based remote control system by motion detection and open finger counting. IEEE Trans Consumer Electron 55(4): 2308–2313CrossRefGoogle Scholar
  132. Lenman S, Bretzner L, Thuresson B (2002) Using marking menus to develop command sets for computer vision based hand gesture interfaces. In: Proceedings of the second Nordic conference on human–computer interaction, ACM Press, pp 239–242Google Scholar
  133. Li F, Wechsler H (2005) Open set face recognition using transduction. IEEE Trans Pattern Anal Mach Intell 27(11): 1686–1697CrossRefGoogle Scholar
  134. Li S, Zhang H (2004) Multi-view face detection with ^oat-boost. IEEE Trans Pattern Anal Mach Intell 26(9): 1112–1123CrossRefGoogle Scholar
  135. Liang R-H, Ouhyoung M (1996) A sign language recognition system using hidden Markov model and context sensitive search. In: Proceedings of the ACM symposium on virtual reality software and technology’96, ACM Press, pp 59–66Google Scholar
  136. Licsar A, Sziranyi T (2005) User-adaptive hand gesture recognition system with interactive training. Image Vis Comput 23: 1102–1114CrossRefGoogle Scholar
  137. Lin SY, Lai YC, Chan LW, Hung YP (2010) Real-time 3D model-based gesture tracking for multimedia control. In: International conference on pattern recognition, pp 3822–3825Google Scholar
  138. Liu N, Lovell BC (2005) Hand gesture extraction by active shape models. In: Proceedings of the digital imaging computing: techniques and applications (DICTA 2005), pp 1–6Google Scholar
  139. Liu Y, Zhang P (2009) Vision-based human–computer system using hand gestures. In: International conference on computational intelligence and security, pp 529–532Google Scholar
  140. Liu Y, Gan Z, Sun Y (2008) Static hand gesture recognition and its application based on support vector machines. In: Ninth ACIS international conference on software engineering, artificial intelligence, networking, and parallel/distributed computing, pp 517–521Google Scholar
  141. Lloyd S (1982) Least squares quantization in PCM. IEEE Trans Inf Theory 28(2): 129–137CrossRefMathSciNetMATHGoogle Scholar
  142. Lu W-L, Little JJ (2006) Simultaneous tracking and action recognition using the pca-hog descriptor. In: The 3rd Canadian conference on computer and robot vision, 2006. Quebec, pp 6–13Google Scholar
  143. Lumsden J, Brewster S (2003) A paradigm shift: alternative interaction techniques for use with mobile & wearable devices. In: Proceedings of the 2003 conference of the centre for advanced studies conference on collaborative research. IBM Press, pp 197–210Google Scholar
  144. Luo Q, Kong X, Zeng G, Fan J (2008) Human action detection via boosted local motion histograms. Mach Vis Appl. doi:10.1007/s00138-008-0168-5
  145. MacQueen J (1967) Some methods for classification and analysis of multivariate observations. In: The proceedings of the fifth Berkeley symposium on mathematical statistics and probability, vol 1, pp 281–297Google Scholar
  146. Malassiotis S, Strintzis MG (2008) Real-time hand posture recognition using range data. Image Vis Comput 26: 1027–1037CrossRefGoogle Scholar
  147. Mammen JP, Chaudhuri S, Agrawal T (2001) Simultaneous tracking of both hands by estimation of erroneous observations. In: Proceedings of the British machine vision conference (BMVC), ManchesterGoogle Scholar
  148. Martin J, Devin V, Crowley J (1998) Active hand tracking. In: IEEE conference on automatic face and gesture recognition, Nara, Japan, pp 573–578Google Scholar
  149. McNeill D (1992) Hand and mind: what gestures reveal about thought. University Of Chicago Press. ISBN: 9780226561325Google Scholar
  150. Mgestyk (2009) http://www.mgestyk.com/
  151. Mitra S, Acharya T (2007) Gesture recognition: a survey. IEEE Trans Syst Man Cybern (SMC)Part C Appl Rev 37(3): 311–324CrossRefGoogle Scholar
  152. Modler P, Myatt T (2008) Recognition of separate hand gestures by time delay neural networks based on multi-state spectral image patterns from cyclic hand movements. In: IEEE international conference on systems, man and cybernetics (SMC 2008), pp 1539–1544Google Scholar
  153. Moeslund T, Granum E (2001) A survey of computer vision based human motion capture. Comput Vis Image Underst 81: 231–268CrossRefMATHGoogle Scholar
  154. Moyle M, Cockburn A (2002) Gesture navigation: an alternative ‘back’ for the future. In: Human factors in computing systems, ACM Press, New York, pp 822–823Google Scholar
  155. Murthy GRS, Jadon RS (2010) Hand gesture recognition using neural networks. In: 2nd International advance computing conference (IACC), IEEE, pp 134–138Google Scholar
  156. Nickel K, Stiefelhagen R (2003) Pointing gesture recognition based on 3d-tracking of face, hands and head orientation. In: ICMI ’03: proceedings of the 5th international conference on multimodal interfaces. ACM Press, New York, pp 140–146Google Scholar
  157. Nishikawa A, Hosoi T, Koara K, Negoro D, Hikita A, Asano S, Kakutani H, Miyazaki F, Sekimoto M, Yasui M, Miyake Y, Takiguchi S, Monden M (2003) FAce MOUSe: a novel human-machine interface for controlling the position of a laparoscope. IEEE Trans Robotics Autom 19(5): 825–841CrossRefGoogle Scholar
  158. Noury N, Barralon P, Virone G, Boissy P, Hamel M, Rumeau P (2003) A smart sensor based on rules and its evaluation in daily routines. In: Engineering in medicine and biology society, 2003. Proceedings of the 25th annual international conference of the IEEE, vol 4, pp 3286–3289Google Scholar
  159. OMRON (2012) http://www.omron.com/
  160. Ong SCW, Ranganath S, Venkatesh YV (2006) Understanding gestures with systematic variations in movement dynamics. Pattern Recogn 39: 1633–1648CrossRefMATHGoogle Scholar
  161. Ongkittikul S, Worrall S, Kondoz A (2008) Two hand tracking using colour statistical model with the K-means embedded particle filter for hand gesture recognition. In: 7th Computer information systems and industrial management applications, pp 201–206Google Scholar
  162. Osawa N, Asai K, Sugimoto YY (2000) Immersive graph navigation using direct manipulation and gestures. In: ACM symposium on virtual reality software and technology. ACM Press, pp 147–152Google Scholar
  163. Ottenheimer HJ (2005) The anthropology of language: an introduction to linguistic anthropology. Wadsworth Publishing. ISBN-13: 978-0534594367Google Scholar
  164. Ou J, Fussell SR, Chen X, Setlock LD, Yang J (2003) Gestural communication over video stream: supporting multimodal interaction for remote collaborative physical tasks. In: Proceedings of the 5th international conference on Multimodal interfaces. ACM Press, pp 242–249Google Scholar
  165. Paiva A, Andersson G, Hk K, Mourao D, Costa M, Martinho C (2002) SenToy in fantasyA: designing an affective sympathetic interface to a computer game. Pers Ubiquitous Comput 6(5–6):378–389Google Scholar
  166. Pang YY, Ismail NA, Gilbert PLS (2010) A real time vision-based hand gesture interaction. In: Fourth Asia international conference on mathematical/analytical modeling and computer simulation, IEEE, pp 237–242Google Scholar
  167. Pantic M, Nijholt A, Pentland A, Huanag TS (2008) Human-centred intelligent human–computer Interaction (HCI 2): how far are we from attaining it?. Int J Auton Adapt Commun Syst 1: 168–187CrossRefGoogle Scholar
  168. Patwardhan KS, Roy SD (2007) Hand gesture modelling and recognition involving changing shapes and trajectories, using a predictive EigenTracker. Pattern Recogn Lett 28: 329–334CrossRefGoogle Scholar
  169. Paulraj MP, Yaacob S, Desa H, Hema CR (2008) Extraction of head and hand gesture features for recognition of sign language. In: International conference on electronic design, pp 1–6Google Scholar
  170. Pausch R, Williams RD (1990) Tailor: creating custom user interfaces based on gesture. In: Proceedings of the 3rd annual ACM SIGGRAPH symposium on user interface software and technology. ACM Press, pp 123–134Google Scholar
  171. Pavlovic VI, Sharma R, Huang TS (1997) Visual interpretation of hand gestures for human–computer interaction: a review. Trans Pattern Anal Mach Intell 19(7): 677–695CrossRefGoogle Scholar
  172. Perez P, Hue C, Vermaak J, Gangnet M (2002) Color-based probabilistic tracking. In: Procedings of the European conference on computer vision, Copenhagen, pp 661–675Google Scholar
  173. Peterfreund N (1999) Robust tracking of position and velocity with Kalman snakes. IEEE Trans Pattern Anal Mach Intell 10(6): 564–569CrossRefGoogle Scholar
  174. Pickering CA (2005) Gesture recognition driver controls. IEE J Comput Control Eng 16(1): 27–40MathSciNetGoogle Scholar
  175. PointGrab’s (2012) http://www.pointgrab.com/
  176. Prieto A, Bellas F, Duro RJ, López-Peña F (2006) An adaptive visual gesture based interface for human machine interaction in intelligent workspaces. In: IEEE international conference on virtual environments, human–computer interfaces, and measurement systems, pp 43–48Google Scholar
  177. Radkowski R, Stritzke C (2012) Interactive hand gesture-based assembly for augmented reality applications. In: ACHI 2012: the fifth international conference on advances in computer–human interactions, IARIA, pp 303–308Google Scholar
  178. Ramage D (2007) Hidden Markov models fundamentals, Lecture Notes. http://cs229.stanford.edu/section/cs229-hmm.pdf
  179. Rashid O, Al-Hamadi A, Michaelis B (2009) A framework for the integration of gesture and oosture recognition using HMM and SVM. In: IEEE international conference on intelligent computing and intelligent systems (ICIS 2009), pp 572–577Google Scholar
  180. Rautaray SS, Agrawal A (2011) A novel human computer interface based on hand gesture recognition using computer vision techniques. In: International conference on intelligent interactive technologies and multimedia (IITM-2011), pp 292–296Google Scholar
  181. Rautaray SS, Agrawal A (2012) Real time hand gesture recognition system for dynamic applications. Int J UbiComp 3(1): 21–31CrossRefGoogle Scholar
  182. Reale MJ, Canavan S, Yin L, Hu K, Hung T (2011) A multi-gesture interaction system using a 3-D Iris disk model for Gaze estimation and an active appearance model for 3-D hand pointing. IEEE Trans Multimed 13(3): 474–486CrossRefGoogle Scholar
  183. Rehg J, Kanade T (1994) Digiteyes: vision-based hand tracking for human–computer interaction. In: Workshop on motion of non-rigid and articulated bodies, Austin Texas, pp 16–24Google Scholar
  184. Rehg J, Kanade T (1995) Model-based tracking of self-occluding articulated objects. In: Proceedings of the international conference on computer vision (ICCV), pp 612–617Google Scholar
  185. Ren Y, Zhang F (2009a) Hand gesture recognition based on meb-svm. In: Second international conference on embedded software and systems, IEEE Computer Society, Los Alamitos, pp 344–349Google Scholar
  186. Ren Y, Zhang F (2009b) Hand gesture recognition based on MEB-SVM. In: International conferences on embedded software and systems, pp 344–349Google Scholar
  187. Rodriguez S, Picon A, Villodas A (2010) Robust vision-based hand tracking using single camera for ubiquitous 3D gesture interaction. In: IEEE symposium on 3D user interfaces (3DUI), pp 135–136Google Scholar
  188. Sajjawiso T, Kanongchaiyos P (2011) 3D hand pose modeling from uncalibrate monocular images. In: Eighth international joint conference on computer science and software engineering (JCSSE), pp 177–181Google Scholar
  189. Salinas RM, Carnicer RM, Cuevas FJ, Poyato AC (2008) Depth silhouettes for gesture recognition. Pattern Recogn Lett 29: 319–329CrossRefGoogle Scholar
  190. Sangineto E, Cupelli M (2012) Real-time viewpoint-invariant hand localization with cluttered backgrounds. Image Vis Comput 30:26–37Google Scholar
  191. Sawah AE, Joslin C, Georganas ND, Petriu EM (2007) A framework for 3D hand tracking and gesture recognition using elements of genetic programming. In: Fourth Canadian conference on computer and robot vision (CRV’07), pp 495–502Google Scholar
  192. Sawah AE, Georganas ND, Petriu EM (2008) A prototype for 3-D hand tracking and posture estimation. IEEE Trans Instrum Meas 57(8): 1627–1636CrossRefGoogle Scholar
  193. Saxe D, Foulds R (1996) Toward robust skin identification in video images. In: IEEE international conference on automatic face and gesture recognition, pp 379–384Google Scholar
  194. Schapire R (2002) The boosting approach to machine learning: an overview. In: MSRI workshop on nonlinear estimation and classificationGoogle Scholar
  195. Schlomer T, Poppinga B, Henze N, Boll S (2008) Gesture recognition with a wii controller. In: TEI ’08: proceedings of the 2nd international conference on Tangible and embedded interaction. ACM, New York, pp 11–14Google Scholar
  196. Schmandt C, Kim J, Lee K, Vallejo G, Ackerman M (2002) Mediated voice communication via mobile ip. In: Proceedings of the 15th annual ACM symposium on User interface software and technology. ACM Press, pp 141–150Google Scholar
  197. Schultz M, Gill J, Zubairi S, Huber R, Gordin F (2003) Bacterial contamination of computer keyboards in a teaching hospital. Infect Control Hosp Epidemiol 4(24): 302–303CrossRefGoogle Scholar
  198. Sclaroff S, Betke M, Kollios G, Alon J, Athitsos V, Li R, Magee J, Tian TP (2005) Tracking, analysis, and recognition of human gestures in video. In: 8th International conference on document analysis and recognition, pp 806–810Google Scholar
  199. Segen J, Kumar S (1998a) Gesture VR: vision-based 3d Hand interface for spatial interaction. In: Proceedings of the sixth ACM international conference on multimedia. ACM Press, pp 455–464Google Scholar
  200. Segen J, Kumar S (1998b) Video acquired gesture interfaces for the handicapped. In: Proceedings of the sixth ACM international conference on multimedia. ACM Press, pp 45–48Google Scholar
  201. Segen J, Kumar SS (1999) Shadow gestures: 3D hand pose estimation using a single camera. In: Proceedings of the IEEE computer vision and pattern recognition (CVPR), pp 479–485Google Scholar
  202. Senin P (2008) Dynamic time warping algorithm review, technical report. http://csdl.ics.hawaii.edu/techreports/08-04/08-04.pdf
  203. Sharma R, Huang TS, Pavovic VI, Zhao Y, Lo Z, Chu S, Schulten K, Dalke A, Phillips J, Zeller M, Humphrey W (1996) Speech/gesture interface to a visual computing environment for molecular biologists. In: International conference on pattern recognition (ICPR ’96) volume 7276. IEEE Computer Society, pp 964–968Google Scholar
  204. Shimada N, Shirai Y, Kuno Y, Miura J (1998) Hand gesture estimation and model refinement using monocular camera ambiguity limitation by inequality constraints. In: IEEE international conference on face and gesture recognition, Nara, pp 268–273Google Scholar
  205. Shimizu M, Yoshizuka T, Miyamoto H (2007) A gesture recognition system using stereo vision and arm model fitting. In: International congress series 1301, Elsevier, pp 89–92Google Scholar
  206. Sigal L, Sclaroff S, Athitsos V (2004) Skin color-based video segmentation under time-varying illumination. IEEE Trans Pattern Anal Mach Intell 26(7): 862–877CrossRefGoogle Scholar
  207. Smith GM, Schraefel MC (2004) The radial scroll tool: scrolling support for stylus- or touch-based document navigation. In: Proceedings of the 17th annual ACM symposium on User interface software and technology, ACM Press, pp 53–56Google Scholar
  208. Song L, Takatsuka M (2005) Real-time 3D nger pointing for an augmented desk. In: Australasian conference on user interface, vol 40. Newcastle, pp 99–108Google Scholar
  209. Sriboonruang Y, Kumhom P, Chamnongthai K (2006) Visual hand gesture interface for computer board game control. In: IEEE tenth international symposium on consumer electronics, pp 1–5Google Scholar
  210. Stan S, Philip C (2004) Fastdtw: toward accurate dynamic time warping in linear time and space. In: KDD workshop on mining temporal and sequential dataGoogle Scholar
  211. Staner AT, Pentland A (1995a) Visual recognition of American sign language using hidden Markov models. Technical Report TR-306, Media Lab, MITGoogle Scholar
  212. Starner T, Pentland A (1995b) Real time American sign language recognition from video using hidden Markov models, Technical Report 375, MIT Media LabGoogle Scholar
  213. Stotts D, Smith JM, Gyllstrom K (2004a) Facespace: endo- and exo-spatial hypermedia in the transparent video face top. In: 15th ACM conference on hypertext & hypermedia. ACM Press, pp 48–57Google Scholar
  214. Stotts D, Smith JM, Gyllstrom K (2004b) Facespace: endo- and exo-spatial hypermedia in the transparent video facetop. In: Proceedings of the fifteenth ACM conference on hypertext & hypermedia. ACM Press, pp 48–57Google Scholar
  215. Suk H, Sin BK, Lee SW (2008) Robust modeling and recognition of hand gestures with dynamic Bayesian network. In: 19th international conference on pattern recognition, pp 1–4Google Scholar
  216. Suka H, Sin B, Lee S (2010) Hand gesture recognition based on dynamic Bayesian network framework. Pattern Recogn 43: 3059–3072CrossRefGoogle Scholar
  217. Swindells C, Inkpen KM, Dill JC, Tory M (2002) That one there! Pointing to establish device identity. In: Proceedings of the 15th annual ACM symposium on user interface software and technology. ACM Press, pp 151–160Google Scholar
  218. Teng X, Wu B, Yu W, Liu C (2005) A hand gesture recognition system based on local linear embedding. J Vis Lang Comput 16: 442–454CrossRefGoogle Scholar
  219. Terrillon J, Shirazi M, Fukamachi H, Akamatsu S (2000) Comparative performance of different skin chrominance models and chrominance spaces for the automatic detection of human faces in color images. In: Proceedings of the international conference on automatic face and gesture recognition (FG), pp 54–61Google Scholar
  220. Terzopoulos D, Szeliski R (1992) Tracking with Kalman Snakes. MIT Press, Cambridge, pp 3–20Google Scholar
  221. Thirumuruganathan S (2010) A detailed introduction to K-nearest neighbor (KNN) algorithm. http://saravananthirumuruganathan.wordpress.com/2010/05/17/a-detailed-introduction-to-k-nearest-neighbor-knn-algorithm/
  222. Tran C, Trivedi MM (2012) 3-D posture and gesture recognition for interactivity in smart spaces. IEEE Trans Ind Inform 8(1): 178–187CrossRefGoogle Scholar
  223. Triesch J, Malsburg C (1996) Robust classification of hand postures against complex background. In: IEEE automatic face and gesture recognition, Killington, pp 170–175Google Scholar
  224. Triesch J, Von der Malsburg C (1998) A gesture interface for human-robot-interaction. In: Proceedings of the international conference on automatic face and gesture recognition (FG). IEEE, Nara, Japan, pp 546–551Google Scholar
  225. Tseng KT, Huang WF, Wu CH (2006) Vision-based finger guessing game in human machine interaction. In: IEEE international conference on robotics and biomimetics, pp 619–624Google Scholar
  226. Utsumi A, Ohya J (1998) Image segmentation for human tracking using sequential-image-based hierarchical adaptation. In: Proceedings IEEE computer vision and pattern recognition (CVPR), pp 911–916Google Scholar
  227. Utsumi A, Ohya J (1999) Multiple-hand-gesture tracking using multiple cameras. In: Proceedings of the IEEE computer vision and pattern recognition (CVPR), Colorado, pp 473–478Google Scholar
  228. Vafadar M, Behrad A (2008) Human hand gesture recognition using spatio-temporal volumes for human–computer interaction. In: International symposium in telecommunications, pp 713–718Google Scholar
  229. Vámossy Z, Tóth A, Benedek B (2007) Virtual hand—hand gesture recognition system. In: 5th International symposium on intelligent systems and informatics, pp 97–102Google Scholar
  230. Várkonyi-Kóczy AR, Tusor B (2011) Human–computer interaction for smart environment applications using fuzzy hand posture and gesture models. IEEE Trans Instrum Meas 60(5): 1505–1514CrossRefGoogle Scholar
  231. Varona J, Jaume-i-Capó A, Gonzà àlez J, Perales FJ (2009) Toward natural interaction through visual recognition of body gestures in real-time. Interact Comput 21: 3–10CrossRefGoogle Scholar
  232. Verma R, Dev A (2009) Vision based hand gesture recognition using finite state machines and fuzzy logic. In: International conference on ultra modern telecommunications & workshops (ICUMT ’09), pp 1–6Google Scholar
  233. Vilaplana JM, Coronado JL (2006) A neural network model for coordination of hand gesture during reach to grasp. Neural Netw 19:12–30Google Scholar
  234. Viola P, Jones M (2001) Robust real-time object detection. In: IEEE workshop on statistical and computational theories of vision, VancouverGoogle Scholar
  235. Visser M, Hopf V (2011) Near and far distance gesture tracking for 3D applications. In: 3DTV conference: the true vision-capture, transmission and display of 3D video (3DTV-CON), pp 1–4Google Scholar
  236. Vo N, Tran Q, Dinh TB, Dinh TB, Nguyen QM (2010) An efficient human–computer interaction framework using skin color tracking and gesture recognition. In: IEEE RIVF international conference on computing and communication technologies, research, innovation and vision for the future (RIVF), pp 1–6Google Scholar
  237. Wachs J, Stern H, Edan Y, Kartoun U (2002) Real-time hand gestures using the fuzzy-C-means Algorithm. In: Proceeding of WAC 2002, FloridaGoogle Scholar
  238. Wachs JP, Stern H, Edan Y (2005) Cluster labeling and parameter estimation for the automated setup of a hand-gesture recognition system. IEEE Trans Syst Man Cybern PART A Syst Humans 35(6): 932–944CrossRefGoogle Scholar
  239. Wachs JP, Kolsch M, Stern H, Edan Y (2011) Vision-based hand-gesture applications. Commun ACM 54: 60–71CrossRefGoogle Scholar
  240. Wang GW, Zhang C, Zhuang J (2012) An application of classifier combination methods in hand gesture recognition. Mathematical Problems in Engineering Volume 2012, Hindawi Publishing Corporation, pp 1–17. doi:10.1155/2012/346951
  241. Ward DJ, Blackwell AF, MacKay DJC (2000) Dasher—a data entry interface using continuous gestures and language models. In: Proceedings of the 13th annual ACM symposium on user interface software and technology, ACM Press, pp 129–137Google Scholar
  242. Webel S, Keil J, Zoellner M (2008) Multi-touch gestural interaction in x3d using hidden markov models. In: VRST ’08: proceedings of the 2008 ACM symposium on vVirtual reality software and technology. ACM, New York, pp 263–264Google Scholar
  243. Wii Nintendo (2006) http://www.nintendo.com/wii
  244. Wilson A, Shafer S (2003) Xwand: UI for intelligent spaces. In: Proceedings of the conference on Human factors in computing systems. ACM Press, pp 545–552Google Scholar
  245. Wohler C, Anlauf JK (1999) An adaptable time-delay neural-network algorithm for image sequence analysis. IEEE Trans Neural Netw 10(6): 1531–1536CrossRefGoogle Scholar
  246. Wu M, Balakrishnan R (2003) Multi-finger and whole hand gestural interaction techniques for multi-user tabletop displays. In: Proceedings of the 16th annual ACM symposium on user interface software and technology. ACM Press, pp 193–202Google Scholar
  247. Wu Y, Huang T (1999a) Vision-based gesture recognition: a review. In: Gesture-based communications in HCI, Lecture Notes in Computer Science, vol 1739. Springer, BerlinGoogle Scholar
  248. Wu Y, Huang TT (1999b) Capturing human hand motion: a divide-and-conquer approach. In: Proceedings of the international conference on computer vision (ICCV), Greece, pp 606–611Google Scholar
  249. Wu Y, Huang TS (2000) View-independent recognition of hand postures. In: Proceedings of the IEEE computer vision and pattern recognition (CVPR), vol 2. Hilton Head Island, SC, pp 84–94Google Scholar
  250. Wu Y, Lin J, Huang T (2001) Capturing natural hand articulation. In: Proceedings of the international conference on computer vision (ICCV), Vancouver, pp 426–432Google Scholar
  251. Wu Y, Lin J, Huang TS (2005) Analyzing and capturing articulated hand motion in image sequences. IEEE Trans Pattern Anal Mach Intell 27(12): 1910–1922CrossRefGoogle Scholar
  252. Xiangyu W, Xiujuan L (2010) The study of moving target tracking based on Kalman CamShift in the video. In: 2nd International conference on information science and engineering (ICISE), pp 1–4Google Scholar
  253. Yang M, Ahuja N (1998) Detecting human faces in color images. In: Proceedings of the international conference on image processing (ICIP), Piscataway, pp 127–130Google Scholar
  254. Yang J, Lu W, Waibel A (1998a) Skin-color modeling and adaptation. In: ACCV, pp 687–694Google Scholar
  255. Yang J, Lu W, Waibel A (1998b) Skin-color modeling and adaptation. In: ACCV, pp 687–694Google Scholar
  256. Yang J, Xu J, Li M, Zhang D, Wang C (2011) A real-time command system based on hand gesture recognition. In: Seventh international conference on natural computation, pp 1588–1592Google Scholar
  257. Yi B, Harris FC Jr, Wang L, Yan Y (2005) Real-time natural hand gestures. Comput Sci Eng IEEE 7(3):92–97Google Scholar
  258. Yi X, Qin S, Kang J (2009) Generating 3D architectural models based on hand motion and gesture. Comput Ind 60:677–685Google Scholar
  259. Yilmaz JA, Javed O, Shah M (2006) Object tracking: a survey. ACM Comput Surv 38: 13CrossRefGoogle Scholar
  260. Yin M, Xie X (2003) Estimation of the fundamental matrix from uncalibrated stereo hand images for 3D hand gesture recognition. Pattern Recogn 36(3): 567–584CrossRefGoogle Scholar
  261. Yin J, Han Y, Li J, Cao A (2009) Research on real-time object tracking by improved CamShift. In: International symposium on computer network and multimedia technology, pp 1–4Google Scholar
  262. Yuan Q, Sclaroff S, Athitsos V (1995) Automatic 2D hand tracking in video sequences. In: IEEE workshop on applications of computer vision, pp 250–256Google Scholar
  263. Yuan R, Cheng J, Li P, Chen G, Xie C, Xie Q (2010) View invariant hand gesture recognition using 3D trajectory. In: Proceedings of the 8th world congress on intelligent control and automation, Jinan, pp 6315–6320Google Scholar
  264. Yun L, Peng Z (2009) An automatic hand gesture recognition system based on Viola–Jones method and SVMs. In: Second international workshop on computer science and engineering, pp 72–76Google Scholar
  265. Zabulis X, Baltzakis H, Argyros A (2009) Vision-based Hand gesture recognition for human–computer interaction. In: The Universal Access Handbook. LEAGoogle Scholar
  266. Zeller M et al (1997) A visual computing environment for very large scale biomolecular modeling. In: Proceedings of the IEEE international conference on application specific systems, architectures and processors (ASAP), Zurich, pp 3–12Google Scholar
  267. Zhao S, Tan W, Wu C, Liu C, Wen S (2009) A Novel interactive method of virtual reality system based on hand gesture recognition. In: Chinese control and decision conference (CCDC ’09), pp 5879–5822Google Scholar
  268. Zhu HM, Pun CM (2010) Movement tracking in real-time hand gesture recognition. In: 9th IEEE/ACIS international conference on computer and information science, pp 241–245Google Scholar

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© Springer Science+Business Media Dordrecht 2012

Authors and Affiliations

  1. 1.Information TechnologyIndian institute of Information TechnologyAllahabadIndia

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