Gesture Recognition: A Survey

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 fr...

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Bibliographic Details
Published in:IEEE transactions on human-machine systems 2007-05, Vol.37 (3), p.311-324
Main Authors: Mitra, S., Acharya, T.
Format: Article
Language:English
Subjects:
Applied sciences
Arm
Artificial intelligence
C (programming language)
Color
Computer science
control theory
systems
Computer systems and distributed systems. User interface
Cybernetics
Exact sciences and technology
Face recognition
facial expressions
Filtering
hand gestures
Handicapped aids
Hidden Markov models
hidden Markov models (HMMs)
Humans
Magnetic heads
Manifolds
Optical filters
optical flow
Pattern recognition. Digital image processing. Computational geometry
Recognition
Rehabilitation
soft computing
Software
Virtual reality
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Summary: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
ISSN:1094-6977
2168-2291
1558-2442
2168-2305
DOI:10.1109/TSMCC.2007.893280