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A Novel Human-Robot Cooperative Method for Upper Extremity Rehabilitation

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Abstract

There are a certain number of arm dysfunction patients whose legs could move. Considering the neuronal coupling between arms and legs during locomotion, this paper proposes a novel human-robot cooperative method for upper extremity rehabilitation. Legs motion is considered at the passive rehabilitation training of disabled arm, and its traversed trajectory is represented by the patient trunk motion. A Kinect based vision module, two computers and a WAM robot construct the human-robot cooperative upper extremity rehabilitation system. The vision module is employed to track the position of the subject trunk in horizontal; the WAM robot is used to guide the arm of post-stroke patient to do passive training with the predefined trajectory, and meanwhile the robot follows the patient trunk movement which is tracked by Kinect in real-time. A hierarchical fuzzy control strategy is proposed to improve the position tracking performance and stability of the system, which consists of an external fuzzy dynamic interpolation strategy and an internal fuzzy PD position controller. Four experiments were conducted to test the proposed method and strategy. The experimental results show that the patient felt more natural and comfortable when the human-robot cooperative method was applied; the subject could walk as he/she wished in the visual range of Kinect. The hierarchical fuzzy control strategy performed well in the experiments. This indicates the high potential of the proposed human-robot cooperative method for upper extremity rehabilitation.

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Acknowledgements

The authors appreciate all colleagues in Robot Sensor and Control Laboratory who sent valuable contributions to this work. This work was supported by the National Natural Science Foundation of China (No. 61325018, 61673114); Natural Science Foundation of Jiangsu Province (No. BK20141284); Science and Technology Support Program of Jiangsu Province (No. BE2014132); National Key Research and Development Plan (No.2016YFB1001300). The authors would also like to thank anonymous reviewers for their useful comments.

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Authors and Affiliations

  1. School of Instrument Science and Engineering, Southeast University, Nanjing, 210096, China

    Jing Bai, Aiguo Song, Baoguo Xu, Jieyan Nie & Huijun Li

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  1. Jing Bai
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  2. Aiguo Song
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Correspondence to Aiguo Song.

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Bai, J., Song, A., Xu, B. et al. A Novel Human-Robot Cooperative Method for Upper Extremity Rehabilitation. Int J of Soc Robotics 9, 265–275 (2017). https://doi.org/10.1007/s12369-016-0393-4

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