Combining body sensors and visual sensors for motion training
Doo Young Kwon, Markus H. Groß · 2005
We present a new framework to build motion training systems using machine learning techniques. The goal of our approach is the design of a training method based on the combination of body and visual sensors. We introduce the concept of a Motion Chunk to analyze human motion and construct a motion data model in real-time. The system provides motion detection and evaluation and visual feedback generation. We discuss the results of user tests regarding the system efficiency in martial art training. With our system, trainers can generate motion training videos and practice complex motions precisely evaluated by a computer.