A natural interaction technique in the field of Human Computer Interaction (HCI) has been the core interest of researchers in recent years. Numerous applications of real time hand gesture based recognition in the real world have been deployed where we interact with computers. Hand gestures rely upon camera based detection technique. Use of a Web Camera to develop a virtual HCI device is the primary mode of interaction. This paper investigates recent methods used in vision based Human Computer Interaction using hand gestures. Methods were evaluated by comparing the techniques they rely on, type of work, use of theoretical proofs and simulations.

Human Computer Interaction, hand gestures, camera vision, computer vision

[1] A. Agrawal, R. Raj and S. Porwal, "Vision-based multimodal human-computer interaction using hand and head gestures," 2013 IEEE Conference on Information & Communication Technologies, Thuckalay, Tamil Nadu, India, 2013, pp. 1288-1292,2013.
[2] Haitham Badi, “Recent methods in vision-based hand gesture recognition”, Proceedings of 2013 IEEE Conference on Information and Communication Technologies (ICT 2013), Thuckalay, Tamil Nadu, India, India Vol.31, Issue.4, pp.123-141, 2013.
[3] S. Veluchamy, L. R. Karlmarx and J. J. Sudha, "Vision based gesturally controllable human computer interaction system," 2015 International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), Chennai, 2015, pp. 8-1, 2015.
[4] S. Koceski and N. Koceska, "Vision-based gesture recognition for human-computer interaction and mobile robot`s freight ramp control," Proceedings of the ITI 2010, 32nd International Conference on Information Technology Interfaces, Cavtat, 2010, pp. 289-294, 2010.
[5] G. Baruah, A. K. Talukdar and K. K. Sarma, "A robust viewing angle independent hand gesture recognition system," 2015 International Conference on Computing and Network Communications (CoCoNet), Trivandrum, 2015, pp. 842-847, 2015.
[6] S. Thakur, R. Mehra and B. Prakash, "Vision based computer mouse control using hand gestures," 2015 International Conference on Soft Computing Techniques and Implementations (ICSCTI), Faridabad, 2015, pp. 85-89, 2015.
[7] S. Song, D. Yan and Y. Xie, "Design of control system based on hand gesture recognition," 2018 IEEE 15th International Conference on Networking, Sensing and Control (ICNSC), Zhuhai,2018,pp.1-4, 2018.
[8] A. Pradhan and B. B. V. L. Deepak, "Obtaining hand gesture parameters using image processing," 2015 International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), Chennai, 2015, pp. 168-170, 2015.
[9] V. Bhame, R. Sreemathy and H. Dhumal, "Vision based hand
gesture recognition using eccentric approach for human computer interaction," 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI), New Delhi, 2014, pp. 949-953, 2014.
[10] M. K. Ahuja and A. Singh, "Static vision based Hand Gesture recognition using principal component analysis," 2015 IEEE 3rd International Conference on MOOCs, Innovation and Technology in Education (MITE), Amritsar, 2015, pp. 402-406, 2015.
[11] Palak Kumar and Vineet Saini, "An Efficient Image Sharpening Filter for Enhancing Edge Detection Techniques for 2D, High Definition and Linearly Blurred Images," 2014 International Journal of Scientific Research in Computer Science and Engineering (IJSRCSE), Vol.2, Issue.1, pp. 6-10, 2014.
[12] Mahajan J.R and C. S. Rawat, "Object Detection and Tracking using Cognitive Approach," 2017 International Journal of Scientific Research in Network Security and Communication (IJSRNSC), Vol.5, Issue.3, pp. 136-140, 2017.