Intelligent wheelchair human–robot interactive system based on human posture recognition

A human posture interaction system guaranteed by algorithmic control is proposed to improve the convenience and control accuracy of wheelchairs. Initially, a system is designed based on microelectromechanical systems (MEMS) technology that incorporates a dual-inertial measurement unit to efficiently capture data on the user’s body posture. Subsequently, a K-means clustering algorithm is implemented in the system to analyze and recognize the user’s body position in real-time. This condition allows the system to deduce the user’s intention and react accordingly. Finally, the control system is validated through identification control experiments. Experiment results demonstrate a success rate above 97 %, thereby suggesting the reliability of the posture recognition algorithm.