Abstract
Gesture recognition has been an attractive area of research since a long time. With the introduction of Microsoft Kinect, hand gesture and body gesture recognition has become handy for the researchers. Here an innovative application has been presented which controls all electrical home appliances through hand gestures. The algorithm presented here is an assistive application useful for physically challenged and senior citizens. In this paper we have used Microsoft Kinect for image capturing along with some important computer vision (CV) and digital image processing techniques (DIP) for hand gesture recognition. Arduino Uno microcontroller and relay circuits are used for controlling electrical devices. The algorithm presented gives an accuracy of 88 %.
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References
El-Sawah A., Georganas N., Petiriu E., A prototype for 3-D hand tracking and posture estimation, IEEE transaction of Instrum Meas, vol. 57(8), pp. 1627–1636 (2008).
P. Premaratne, Human Computer Interaction using Hand Gesture Recognition, Springer (2014).
Pavlovic V., Sharma R., Huang T., Visual Interpretation of Hand Gesture for Human Computer Interaction, IEEE transaction on Pattern Analysis and Machine Intelligence, vol. 19(7), pp. 677–695 (1997).
Erol A., Bebis G., Nicolescu M., Boyle R., Twombly X., Vision Based Hand Pose Estimation: A Review, Computer Vision and Image Understanding, pp. 52–73 (2007).
Suarez J., Murphy R., Hand Gesture Recognition with Depth Image: A Review, IEEE International Symposium on Robot and Human Interactive Communication, pp. 9–13 (2012).
Agrawal I., Johar S.,Santhosh J., A Tutor for the Hearing Impaired (Developed using Automatic Gesture Recognition), International Journal of Computer Science, Engineering and Application, vol. 1(4), pp. 49–61 (2011).
Ren Z., Youn J., Meng J., Zhang Z., Robust Part Based Hand Gesture Recognition Using Kinect Sensor, IEEE Transaction Multimedia, vol. 15(5), pp. 1110–1120 (2013).
Arun K., Chris Z., Joseph and J. L. Jr., Poster: Real Time Markless Kinect Based Finger Tracking and Hand Gesture Recognition, In IEEE Symposium on 3D User Interface, Orlando, USA (2013).
Verma H., Aggarwal E., Chandra S., Gesture Recognition using Kinect for Sign Language Transalation, In IEEE International Conference on Image Processing (ICIIP-2013) (2013).
Shukla J., Dwivedi A., A Method for Hand Gesture Recognition, In Fourth International Conference on Communication System and Network Technologies (2014).
C. Cliff and S. S. Mirfakhroei, “Hand Gesture Recognition Using Kinect,” Technical Report No ECE-2013-04, Boston University (2013).
Du H., To T.H., Hand Gesture Recognition using Kinect, Technical Report No. ECE-2011-04, Boston University (2011).
Raheja J., Chaudhary A., Singal K., Tracking of Fingertips and Centre of Palm using Kinect, In IEEE International Conference on Computational Intelligence, Modelling and Simulation, Malaysia (2011).
Biswas K., Basu S., Gesture REcognition using Microsoft Kinect, In 5th International Conference on Automation, Robotics and Application, Wellington, Newzeland (2011).
Jing P., Ye-Peng G., Human Computer Interaction using Pointing Gesture based on an Adaptive Virtual Touch Screen, International Journal of Signal Processing, Image Processing and Pattern Recognition, vol. 6(4), pp. 81–91 (2013).
Hamissi M., Foez K., Real Time Hand Gesture Recognition Based on Depth Map for Human Robot Interaction, International Journal of Electrical and Computer Engineering, vol. 3(6), pp. 770–778 (2013).
Verma H.V., Eshan A., Chandra S., Gesture Recognition Using Kinect for Sign Language Translation, In IEEE Second International Conference on Image Information Processing (ICIIP-2013) (2013).
Marin G., Fraccaro M., Donadeo M., Dominio F., Zanuttigh P., Palm Area Detection for Reliable Hand Gesture Recognition, In IEEE International Workshop on Multimedia Signal Processing 2013 (MMSP-2013) (2013).
Han J., Shao L., Xu D., Shotton J., Enhance Computer Vision with Microsoft Kinect Sensor - A Review, IEEE Transaction on Cybernetics, vol. 43(5), pp. 1318–1334 (2013).
Mitra S., Acharya T., Gesture Recognition: A survey, IEEE Transaction on System, Man and Cybernetics - Part C: Applications and Reviews, vol. 37(3), pp. 311–324 (2007).
Otsu N., A Threshold Selection Method from Gray-Level Histograms, IEEE Transactions on Systems, Man, and Cybernetics, vol. 9(1), pp. 62–66 (1979).
Hu, Ming-Kuei, Visual pattern recognition by moment invariants, IRE Transaction on Information Theory, vol. 8(2), pp. 179–187 (1962).
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Desai, S., Desai, A. (2017). Human Computer Interaction Through Hand Gestures for Home Automation Using Microsoft Kinect. In: Modi, N., Verma, P., Trivedi, B. (eds) Proceedings of International Conference on Communication and Networks. Advances in Intelligent Systems and Computing, vol 508. Springer, Singapore. https://doi.org/10.1007/978-981-10-2750-5_3
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DOI: https://doi.org/10.1007/978-981-10-2750-5_3
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