Dynamic Gesture Recognition Based on Fusing Frame Images

With the rapid development of human-computer interaction technology, gesture recognition becomes one of the key technologies of human-computer interaction. In this paper, we propose a new method of dynamic hand gestures recognition. The method adopts the hierarchical identification model for dynamic...

Full description

Saved in:
Bibliographic Details
Published in2013 Fourth International Conference on Intelligent Systems Design and Engineering Applications pp. 280 - 283
Main Authors Tingfang Zhang, Zhiquan Feng
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2013
Subjects
Acceleration
Dynamics
Educational institutions
Gesture recognition
Gyroscope
Heuristic algorithms
Hidden Markov models
Human computer interaction
Image recognition
Self- balance
the PID
Online AccessGet full text

Cover

More Information
Summary:With the rapid development of human-computer interaction technology, gesture recognition becomes one of the key technologies of human-computer interaction. In this paper, we propose a new method of dynamic hand gestures recognition. The method adopts the hierarchical identification model for dynamic hand gestures recognition. First, we combine frame fusion with density distribution features for rough gesture recognition, second, we use the Hausdorff distance or fingertip detection for accurate gesture recognition. The main innovation of this method lies in that we change the way of dynamic gestures recognition into the recognition of static image, improves the efficiency of gesture recognition effectively. Experimental results showed that our recognition rate is above 90%.
DOI:10.1109/ISDEA.2013.468