Abstract

This study will design a prosthesis with two actuators as a solution for disabled people with hand disabilities. The prosthesis control method used in this design is based on surface electromyography (sEMG) signals for each actuator. The designed system consists of several processes, namely the acquisition of sEMG signals, digitizing signals, as well as classification of sEMG signals with adaptive threshold algorithms and integration with actuator movements in the prosthesis. The classification of the two sEMG instrumentation signal will produce a command output for each servo activation or de-Activation of the prosthesis. From the test of six normal subjects, using an adaptive thresholding algorithm which resulted in detecting 87 finger movements, 27 detections were found due to the cross-Talk effect. Then the accuracy of the prosthesis with the adaptive thresholding algorithm is 68.97%.

Original languageEnglish
Title of host publicationProceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages67-72
Number of pages6
ISBN (Electronic)9781665476508
DOIs
Publication statusPublished - 2022
Event2022 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022 - Surabaya, Indonesia
Duration: 22 Nov 202223 Nov 2022

Publication series

NameProceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022

Conference

Conference2022 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022
Country/TerritoryIndonesia
CitySurabaya
Period22/11/2223/11/22

Keywords

  • Wrist Amputation Prosthesis
  • dual Actuator
  • dual input sEMG

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