Active Gait Rehabilitation Training System Based on Virtual Reality

  • Bingjing Guo
  • Wenxiao Li
  • Jianhai Han
  • Xiangpan Li
  • Yongfei Mao
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10464)


Aiming at improving the low participation and inactive motion intention of patients in traditional gait rehabilitation training, an active gait rehabilitation training system is designed based on Virtual Reality (VR) technology. This project focuses on the design of the gait parameters real-time detecting system and the virtual reality rehabilitation training scene system. Based on an analysis of gait rehabilitation medicine theory, the lower-limb joints range of motion (ROM) and the plantar pressure of the affected limb are selected as the important gait parameters, thus a built-in sensing system is constructed with three inertial measurement units (IMU) and the multi-point force sensing resistors (FSR). Through the wireless Bluetooth communication interface, the lower-limb motor parameters of patients are transmitted into the virtual training games as the motion control signals for character driven in games and the scientific evidence for rehabilitation assessment. Error analysis and compensation method of sampled data are elaborated in this paper. The experiments are carried out about data acquisition, man-machine interaction, and functions of the rehabilitation training scenes. The results show that the active rehabilitation training system is able to assist patients with real-time interaction and immersive sensing and provides better visual feedback information to patients. It improves the training initiative as well as provides an effective means for nerve remodeling.


Virtual reality Active gait rehabilitation Wearable sensing system Joint range of motion Plantar pressure 



This study was supported by the “Research on key generic technologies of pneumatic gait rehabilitation training robot” project (172102210036) granted from “Project of science and technology of the Henan Province”, and the “Research on bionic driving mechanism and control strategy of non-skeletal waist power assisted robot” project (162300410082) granted from “Program for the Natural Science Foundation of Henan Province”.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.School of Mechatronics EngineeringHenan University of Science and TechnologyLuoyangChina
  2. 2.Henan Provincial Key Laboratory of Robotics and Intelligent SystemsLuoyangChina

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