Real-time hand gesture recognition

Ngọc Trần Nguyên
Author affiliations

Authors

  • Ngọc Trần Nguyên Học viện KTQS

DOI:

https://doi.org/10.15625/1813-9663/29/3/2816

Keywords:

Kinect, HLAC, hand gesture, recognition.

Abstract

This paper proposes a new  method of hand gesture recognition using Microsoft’s Kinect in real-time. Our system includes detecting and recognizing hand gestures via combining shape, local auto-correlation information and multi-class support vector machine (SVM). Our evaluation shows that the system recognizes one-handed gestures with more than 93% accuracy in real-time. The efficiency of the system execution is good enough and we are encouraged to develop a natural human-machine interaction in the near future.

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Published

28-08-2013

How to Cite

[1]
N. Trần Nguyên, “Real-time hand gesture recognition”, JCC, vol. 29, no. 3, pp. 232–240, Aug. 2013.

Issue

Section

Cybernetics