Simulation and Processing Techniques of Surface Electromyography Signal to Control a Lower Extremity Exoskeleton

نویسندگان

  • Ngoc-Khoat Nguyen
  • Phuong Dao
چکیده

In recent years, surface electromyography (sEMG) signals which reflect directly human muscle activity have played a significant role in control of a lower extremity exoskeleton system. Our study concentrates on simulation and processing techniques of sEMG signal that we are applying to our exoskeleton robot. Simulation and experiment results are presented and analyzed deeply to validate the techniques mentioned. These results are being applied in our ongoing design of a lower extremity exoskeleton system which is used to assist a soldier to walk with or without load carrying.

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تاریخ انتشار 2013