Gesture Recognition Techniques
Abstract & Details
Research Area
Computer Engineering
Keywords
Hand Posture
Hand Gesture
Fuzzy Clustering
Artificial
Neural Network
Hidden Markov Model
Orientation
Histogram.
Abstract
Gestures considered as the most natural expressive way for communications between human and computers in virtual system. Hand gesture is a method of non-verbal communication for human beings for its freer expressions much more other than body parts. Hand gesture recognition has greater importance in designing an efficient human computer interaction system. Using gestures as a natural interface benefits as a motivation for analyzing, modeling, simulation, and recognition of gestures. In this paper a survey on various recent gesture recognition approaches is provided with particular emphasis on hand gestures. A review of static hand posture methods are explained with different tools and algorithms applied on gesture recognition system, including connectionist models, hidden Markov model, and fuzzy clustering. Challenges and future research directions are also highlighted.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | S. Padmavathy | Prince |
| 2 | M. Nellaiappan | Prince |
| 3 | R. Lydia Jascinth Femila | Prince |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Padmavathy, S., Nellaiappan, M., & Femila, R. Lydia Jascinth (2017). Gesture Recognition Techniques. International Journal of Advance Research and Innovative Ideas In Education, 3(4), 3128-3138.
MLA Style
Padmavathy, S., et al. "Gesture Recognition Techniques." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 4, 2017, pp. 3128-3138.
IEEE Style
S. Padmavathy, M. Nellaiappan, and R. Lydia Jascinth Femila, "Gesture Recognition Techniques," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 4, pp. 3128-3138, 2017.
Vancouver Style
Padmavathy S., Nellaiappan M., Femila R. Lydia Jascinth. Gesture Recognition Techniques. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(4):3128-3138.
Harvard Style
Padmavathy, S., Nellaiappan, M., & Femila, R. Lydia Jascinth (2017) 'Gesture Recognition Techniques', International Journal of Advance Research and Innovative Ideas In Education, 3(4), pp. 3128-3138.
Chicago Style
Padmavathy, S., M. Nellaiappan, and R. Lydia Jascinth Femila. "Gesture Recognition Techniques." International Journal of Advance Research and Innovative Ideas In Education 3, no. 4 (2017): 3128-3138.
Turabian Style
Padmavathy, S., M. Nellaiappan, and R. Lydia Jascinth Femila. "Gesture Recognition Techniques." International Journal of Advance Research and Innovative Ideas In Education 3, no. 4 (2017): 3128-3138.
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