Mitra, Sushmita ; Acharya, Tinku (2007) Gesture Recognition: A Survey In: IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 31 May 2007, IEEE.
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Official URL: https://doi.org/10.1109/TSMCC.2007.893280
Related URL: http://dx.doi.org/10.1109/TSMCC.2007.893280
Abstract
Gesture recognition pertains to recognizing meaningful expressions of motion by a human, involving the hands, arms, face, head, and/or body. It is of utmost importance in designing an intelligent and efficient human-computer interface. The applications of gesture recognition are manifold, ranging from sign language through medical rehabilitation to virtual reality. In this paper, we provide a survey on gesture recognition with particular emphasis on hand gestures and facial expressions. Applications involving hidden Markov models, particle filtering and condensation, finite-state machines, optical flow, skin color, and connectionist models are discussed in detail. Existing challenges and future research possibilities are also highlighted
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Source: | Copyright of this article belongs to IEEE. |
| Keywords: | Face recognition; Hidden Markov models; Optical filters; Humans; Arm; Magnetic heads; Manifolds; Handicapped aids; Virtual reality; Filtering. |
| ID Code: | 140118 |
| Deposited On: | 06 Sep 2025 05:55 |
| Last Modified: | 06 Sep 2025 05:55 |
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