Walking activity detection with lower limbs rehabilitative training robot by wearable wireless sensors

  • Authors:

  • Dianchun Bai;Junyou Yang;Le Ma;Shuoyu Wang

  • Affiliations:

  • School of Electrical Engineering, Shenyang University of Technology, Shenyang, P. R. China;School of Electrical Engineering, Shenyang University of Technology, Shenyang, P. R. China;School of Electrical Engineering, Shenyang University of Technology, Shenyang, P. R. China;Department of Intelligent Mechanical Systems Engineering, Kochi University of Technology, Kochi, Japan

  • Venue:
  • CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 2
  • Year:
  • 2010

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Abstract

This paper describes a new detection method of walking activity with a lower limbs rehabilitative training robot. The robot is designed to improve walking ability of patients who suffer from impairment in locomotion after neurology injuries or aged persons who lack walking capability. Kinematic sensors are applied to monitoring postural transitions (PTs), and the sensor signals are sent to host computer to control lower limbs rehabilitative training robot. If the trained person does not follow the robot, sensors detect abnormal body posture. The host computer sends stop instruction to prevent the trained person from falling down. This paper describes composition of whole wireless data monitoring and control system in details. Original data and processed data from experiment show the status of this system operation. In the study, the wavelet transform is employed to process collected data. At last, a detection scheme of abnormal walking activity is discussed for protecting the person in rehabilitative training.