Vehicle Music Automation Control System Based on Machine Vision.

With the rapid development of Internet of Things technology, vehicle-based entertainment systems are developing towards a more natural, faster, and automated direction. To achieve automatic control of vehicle-based music, based on machine vision, the music automation control method is designed by recognizing human gestures. The improved gesture motion trajectory point localization method, and enhanced recognition method based on the HMM are proposed to control vehicle-based music. The research results indicated that the method proposed in this research had a recognition rate of 95.3% for non-similar gestures. The recognition rate for similar gestures reached 94.56%. This indicates that the designed method can accurately and automatically control in car music equipment It is expected that this research can provide some reference value for the current research on vehicle-based music automated control. [ABSTRACT FROM AUTHOR]