Gesture Recognition: A Survey
Indian Statistical Institute · Arizona State University
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…
Citation impact
- FWCI
- 51.82
- Percentile
- 100%
- References
- 80
Authors
2Topics & keywords
- Gesture
- Gesture recognition
- Computer science
- Hidden Markov model
- Human–computer interaction
- Speech recognition
- Artificial intelligence
- Interface (matter)
- Quality Education