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Title: :  Gesture Recognition Techniques
PaperId: :  6433
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 4 2017
DUI:    16.0415/IJARIIE-6433
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
S. PadmavathyPrince
M. NellaiappanPrince
R. Lydia Jascinth FemilaPrince

Abstract

Computer Engineering
Hand Posture, Hand Gesture, Fuzzy Clustering, Artificial Neural Network, Hidden Markov Model, Orientation Histogram.
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.

Citations

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IJARIIE S. Padmavathy, M. Nellaiappan, and R. Lydia Jascinth Femila. "Gesture Recognition Techniques" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 4 2017 Page 3128-3138
MLA S. Padmavathy, M. Nellaiappan, and R. Lydia Jascinth Femila. "Gesture Recognition Techniques." International Journal Of Advance Research And Innovative Ideas In Education 3.4(2017) : 3128-3138.
APA S. Padmavathy, M. Nellaiappan, & R. Lydia Jascinth Femila. (2017). Gesture Recognition Techniques. International Journal Of Advance Research And Innovative Ideas In Education, 3(4), 3128-3138.
Chicago S. Padmavathy, 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.
Oxford 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, 2017, p. 3128-3138. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Gesture_Recognition_Techniques_ijariie6433.pdf (Accessed : 08 October 2017).
Harvard S. Padmavathy, M. Nellaiappan, and R. Lydia Jascinth Femila. (2017) 'Gesture Recognition Techniques', International Journal Of Advance Research And Innovative Ideas In Education, 3(4), pp. 3128-3138IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Gesture_Recognition_Techniques_ijariie6433.pdf (Accessed : 08 October 2017)
IEEE 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, Jul-Aug 2017. [Online]. Available: https://ijariie.com/AdminUploadPdf/Gesture_Recognition_Techniques_ijariie6433.pdf [Accessed : 08 October 2017].
Turabian S. Padmavathy, M. Nellaiappan, and R. Lydia Jascinth Femila. "Gesture Recognition Techniques." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 4 (08 October 2017).
Vancouver S. Padmavathy, M. Nellaiappan, and R. Lydia Jascinth Femila. Gesture Recognition Techniques. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : 08 October 2017]; 3(4) : 3128-3138. Available from: https://ijariie.com/AdminUploadPdf/Gesture_Recognition_Techniques_ijariie6433.pdf
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