Abstract
This study introduces a dynamic gesture recognition system applicable in IPTV remote control. In this system, we developed a hardware accelerator for real-time moving object detection. It is able to detect the position of hand block in each frame at high speed. After acquiring the information of hand block, the system can capture the robust dynamic gesture feature with the moving trail of hand block in the continuous images, and input to FNN classifier for starting recognition process. The experimental results show that our method has a good recognition performance, and more applicable to real gesture-controlled human-computer interactive environment.
Original language | English |
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Pages (from-to) | 375-384 |
Number of pages | 10 |
Journal | Intelligent Automation and Soft Computing |
Volume | 25 |
Issue number | 2 |
DOIs | |
State | Published - Jun 2019 |
Keywords
- Dynamic gesture recognition
- FNN classifier
- Hardware accelerator
- IPTV