Abstract
Hands play an important role in the execution of many important tasks in the daily lives of humans as well for a number of other special purposes. The shape of the human hand is such that it is able to easily perform a number of otherwise tedious tasks. It can bend its fingers to different angles to pick up or to hold objects and to apply force via fingers or the palm area. In a number of scenarios, a human hand can perform the tasks much more efficiently than a machine shaft. This is due to the ability of a human hand to operate over a number of degrees of freedom and its ability to bend fingers at different angles.
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References
J. Alon, V. Athitsos, Q. Yuan, S. Sclaroff, A unified framework for gesture recognition and spatio-temporal gesture segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 31(9), 1685–1699 (2009)
M.K. Bhuyan, D. Ghosh, P.K. Bora, Designing of human computer interactive platform for robotic applications, in TENCON IEEE Region, vol. 10, pp. 1–5, 21–24 Nov 2005
J. Dastur, A. Khawaja, Robotic arm actuation with 7 DOF using Haar classifier gesture recognition, in Proceedings of the Second International Conference on Computer Engineering and Applications, vol. 1, pp. 27–29, March 2010
A. El-Sawah, C. Joslin, N.D. Georganas, E. M. Petriu, A framework for 3D hand tracking and gesture recognition using elements of genetic programming, in Proceedings of the Fourth Canadian Conference on Computer and Robot Vision, pp. 495–502, Montreal, Canada, 28–30 May 2007
W.T. Freeman, Computer vision for television and games, in Proceedings of International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, pp. 118 (1999)
G. Gastaldi, A. Pareschi, S.P. Sabatini, F. Solari, G.M. Bisio, A man-machine communication system based on the visual analysis of dynamic gestures, in Proceedings of IEEE International Conference on Image Processing, Genoa, Italy, vol. 3, pp. III-397–400, 11–14 Sept 2005
C.V. Hardenberg, F. Berard, Bare hand human computer interaction, in Proceedings of the ACM workshop on Perceptive user interfaces, Orlando, Florida, USA, (2001), pp. 1–8
W.A. Hoff, J.C. Lisle, Mobile robot control using a small display, in Proceedings of International Conference on Intelligent Robots and Systems, Golden, CO, USA, vol. 4, pp. 3473–3478, 27–31 Oct 2003
J.M. Kim, W.K. Lee, Hand shape recognition using fingertips, in Proceedings of Fifth International Conference on Fuzzy Systems and Knowledge Discovery, Jinan, Shandong, China (2008), pp. 44–48
B. Lee, J. Chun, Manipulation of virtual objects in marker-less AR system by fingertip tracking and hand gesture recognition, in Proceedings of the Second International Conference on Interaction Science: Information Technology, Culture and Human, Seoul, Korea, pp. 1110–1115 (2009a)
D. Lee, Y. Park, Vision-based remote control system by motion detection and open finger counting. IEEE Trans. Consum. Electron. 55(4), 2308–2313 (2009b)
H. Li, M. Greenspan, Model-based segmentation and recognition of dynamic gestures in continuous video streams, in Pattern Recognition, August 2011
Z. Li, S. Wachsmuth, J. Fritsch, G. Sagerer, View-adaptive manipulative action recognition for robot companions, in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1028–1033, 29 Oct 2007
W.T. Man, S.M. Qiu, W. K. Hong, ThumbStick: a novel virtual hand gesture interface, IEEE International Workshop on Robot and Human Interactive Communication, pp. 300–305, August 2005
Y. Mohammad, T. Nishida, S. Okada, Unsupervised simultaneous learning of gestures, actions and their associations for human-robot interaction, in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2537–2544, 10–15 Oct 2009
D.D. Nguyen, T.C. Pham, J.W. Jeon, Fingertip detection with morphology and geometric calculation, in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, St. Louis, USA, pp. 1460–1465, 11–15 October 2009
C. Nolker, H. Ritter, Visual recognition of continuous hand postures. IEEE Trans. Neural Netw. 13(4), 983–994 (2002)
J.L. Raheja, R. Shyam, U. Kumar, P.B. Prasad, Real-time robotic hand control using hand gesture, in Proceedings of the Second International Conference on Machine Learning and Computing, Bangalore, India, pp. 12–16, 9–11 Feb 2010
O. Rashid, A. Al-Hamadi, B. Michaelis, A framework for the integration of gesture and posture recognition using HMM and SVM, in IEEE International Conference on Intelligent Computing and Intelligent Systems, Shanghai, pp. 572–577, 20–22 Nov 2009
M.C. Shin, L.V. Tsap, D.B. Goldgof, Gesture recognition using Bezier curves for visualization navigation from registered 3-D data. Pattern Recogn. 37(5), 1011–1024 (2004)
T. Starner, A. Pentland, Real-time American sign language recognition from video using hidden Markov models, in Proceedings of International Symposium on Computer Vision, pp. 265–270, 21–23 Nov 1995
J. Triesch, C.V.D. Malsburg, Mechanical gesture recognition, in Gesture Workshop, pp. 233–244 (1997)
R. Verma, A. Dev, Vision-based hand gesture recognition using finite state machines and fuzzy logic, in Proceedings of the International Conference on Ultra-Modern Telecommunications and Workshops, pp. 1–6, 12–14 Oct 2009
B. Wilamowski, Y. Chen, Efficient algorithm for training neural networks with one hidden layer, in Proceedings of International Joint Conference on Neural Network, vol. 3, pp. 1725–1728 (1999)
H. Zhou, Q. Ruan, A real-time gesture recognition algorithm on video surveillance, in Proceedings of Eighth International Conference on Signal Processing, Beijing, China, pp. 1754–1757, November 2006
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Chaudhary, A. (2018). Bent Fingers’ Angles Calculation. In: Robust Hand Gesture Recognition for Robotic Hand Control. Springer, Singapore. https://doi.org/10.1007/978-981-10-4798-5_7
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