Analysis of Finger Movement for Robotic Hand (MAPRoh-1) by Using Motion Capture and Flexible Bend Sensor

  • M. Hazwan Ali
  • Khairunizam Wan
  • Y. C. Seah
  • Nazrul H. Adnan
  • Juliana A. Abu Bakar
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 291)


Since the beginning of twentieth century, human–computer interaction (HCI) and humanoid robot has been the trend of advance countries to show their achievement in the technology. Thus, it is rituals for others develop countries to tail their footstep. By means of self-construct robotic hand based on human hand behaviors, an experiment was conducted to investigate the characteristic of robotic finger movements. The purpose of this paper is to analyze the correlation between angle produced by motion capture system (MOCAP) and voltage produced by the flexible bend sensor attached to the robotic hand. At the end of the project, the relationship regarding both angle and voltage will be clarified by using regression method and the preliminary result indicates that voltage and angle variation is possibly linear to each other based on correlation of coefficient outcome.


MOCAP Flexible bend sensor Robotic hand 


  1. 1.
    Harper R et al (2008) Being human: human–computer interaction in the year 2020. Microsoft Research Ltd, p 43Google Scholar
  2. 2.
    Bechhofer S (2010) Human computer interaction. Lecture note, University of Manchester, pp 13–16Google Scholar
  3. 3.
    Billinghurst M (2011) Gesture based interaction. Lecture note, Chapter 14, p 1Google Scholar
  4. 4.
    Adnan NH, Wan K (2012) Accurate measurement of the force sensor for intermediate and proximal phalanges of index finger. Int J Comput Appl 45(15):59–65Google Scholar
  5. 5.
    Adnan NH et al (2012) Measurement of the flexible bending force of the index and middle fingers for virtual interaction. International symposium on robotics and intelligent sensors 2012 (IRIS 2012). Procedia Eng 41:388–394Google Scholar
  6. 6.
    Adnan NH et al (2013) PCA-based finger movement and grasping classification using data glove “glove map”, 3rd edn. Int J Innovative Technol Explor Eng (IJITEE) 2:66–71Google Scholar
  7. 7.
    Bekey GA, Tomovic GR, Zeljkovic I (1990) Control architecture for the belgrade/USC hand. In: Venkataraman ST, Iberall T (eds) Dextrous robot hands. Springer, New York, pp 136–149CrossRefGoogle Scholar
  8. 8.
    Tomovic R (1983) Control of assistive systems by external reflex arcs. In: Proceedings IFAC conference on bioengineering control systems, pp 555–562Google Scholar
  9. 9.
    Bekey GA, Tomovic R (1986) Robot control by reflex actions. In: Proceedings 1986 IEEE international conference on robotics and automation, San Francisco, pp 240–247Google Scholar
  10. 10.
    Jacobsen SC, Iversen EK, Knutti DF, Johnson RT, Biggers KB (1986) Design of the Utah/M.I.T. Dextrous hand. In: Proceeding IEEE international conference on robotics and automation, pp 1520–1532Google Scholar
  11. 11.
    Qualisys Software Information. Software/qtm/
  12. 12.
    Kirk AG, O’Brien JF, Forsyth DA (2005) Skeletal parameter estimation from optical motion capture data. In: IEEE Computer Society conference on computer vision and pattern recognition (CVPR 2005), vol 2Google Scholar
  13. 13.
    Maycock J, Steffen J, Ritter H (2011) Robust dataglove mapping for recording human hand postures. In: Proceedings of 4th international conference (ICIRA 2011), Part II, Germany, pp 34–45Google Scholar
  14. 14.
    Oh YI, Jo K-H, Lee J (2006) Low cost motion capture system for PC-based immersive virtual environment (PIVE) system. In: International joint conference 2006 (SICE-ICASE), Korea, pp 3527–3530Google Scholar

Copyright information

© Springer Science+Business Media Singapore 2014

Authors and Affiliations

  • M. Hazwan Ali
    • 1
  • Khairunizam Wan
    • 1
  • Y. C. Seah
    • 1
  • Nazrul H. Adnan
    • 2
  • Juliana A. Abu Bakar
    • 3
  1. 1.Advanced Intelligent Computing and Sustainability Research Group, School of MechatronicUniversiti Malaysia Perlis Kampus Pauh PutraArauMalaysia
  2. 2.Bahagian Sumber ManusiaKuala LumpurMalaysia
  3. 3.Department of Multimedia, School of Multimedia Tech and Communication, College of Arts and SciencesUniversiti Utara MalaysiaSintokMalaysia

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