Abstract
A robust human robot interface system for intelligent robot commands based only on hand gesture is developed. It has a triple-stage face detection scheme and a FLC-Kalman filter to track current user position in a dynamic and cluttered working environment. Through the combined classifier of PCA and BPANN, the commands defined by facial positions and hand gestures are identified by dynamic programming for real-time controls of a mobile robot. The results show that the system accurately perform real-time face detection and tracking robustly at a speed of 8 frames per second.
Original language | English |
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Pages (from-to) | 723-728 |
Number of pages | 6 |
Journal | IFAC Proceedings Volumes (IFAC-PapersOnline) |
Volume | 42 |
Issue number | 16 |
DOIs | |
Publication status | Published - 2009 |
Event | 9th IFAC Symposium on Robot Control, SYROCO 2009 - Gifu, Japan Duration: 2009 Sept 9 → 2009 Sept 12 |
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering