Gesture recognition: A survey

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Gesture recognition: A survey (2007)

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by Sushmita Mitra , Tinku Acharya

Venue:	IEEE TRANSACTIONS ON SYSTEMS, MAN AND CYBERNETICS - PART C
Citations:	200 - 0 self

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@ARTICLE{Mitra07gesturerecognition:,
    author = {Sushmita Mitra and Tinku Acharya},
    title = {Gesture recognition: A survey},
    journal = {IEEE TRANSACTIONS ON SYSTEMS, MAN AND CYBERNETICS - PART C},
    year = {2007},
    volume = {37},
    number = {3},
    pages = {311--324}
}

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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.

Keyphrases

gesture recognition particle filtering future research possibility skin color meaningful expression medical rehabilitation sign language facial expression efficient human computer interface optical flow finite-state machine hidden markov model hand gesture utmost importance connectionist model gesture recognition pertains virtual reality particular emphasis

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