TY - GEN
T1 - Subject Intention Speed Control of Electric Wheelchair for Person with Disabilities Using Myoelectric Signals
AU - Ambarwati, Elvina
AU - Arifin, Achmad
AU - Fatoni, Muhammad Hilman
AU - Pradivta, I. Wayan Nudra Bajantika
AU - Sardjono, Tri Arief
AU - Arrofiqi, Fauzan
AU - Risciawan, Andra
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/17
Y1 - 2020/11/17
N2 - Electric wheelchair used to help mobility of disabilities person be more independent. In the development of electric wheelchair technology, electric wheelchairs can be controlled using myoelectric signals. In previous studies of electric wheelchairs with myoelectric, the using of adaptive myoelectric signals for needs of speed changes has not become a focus. In this study design thresholding process with an adaptive threshold, then compare adaptive threshold process with analog circuit and programming algorithm. Furthermore, control wheelchair speed based on subject intention variable speed is designed which Carpi Radialis muscle movements. Results of the threshold process in the myoelectric system to determine the classification of wheelchair changes are more effective in using a programming algorithm than using an analog circuit, which is proven by a success rate of 92%. In this study, PID control system would be appropriate method for maintaining wheelchair balance and for control speed of a wheelchair.
AB - Electric wheelchair used to help mobility of disabilities person be more independent. In the development of electric wheelchair technology, electric wheelchairs can be controlled using myoelectric signals. In previous studies of electric wheelchairs with myoelectric, the using of adaptive myoelectric signals for needs of speed changes has not become a focus. In this study design thresholding process with an adaptive threshold, then compare adaptive threshold process with analog circuit and programming algorithm. Furthermore, control wheelchair speed based on subject intention variable speed is designed which Carpi Radialis muscle movements. Results of the threshold process in the myoelectric system to determine the classification of wheelchair changes are more effective in using a programming algorithm than using an analog circuit, which is proven by a success rate of 92%. In this study, PID control system would be appropriate method for maintaining wheelchair balance and for control speed of a wheelchair.
KW - Myoelectric
KW - PID Controller
KW - Subject Intention Variable Speed Electric Wheelchair
UR - http://www.scopus.com/inward/record.url?scp=85099660272&partnerID=8YFLogxK
U2 - 10.1109/CENIM51130.2020.9298020
DO - 10.1109/CENIM51130.2020.9298020
M3 - Conference contribution
AN - SCOPUS:85099660272
T3 - CENIM 2020 - Proceeding: International Conference on Computer Engineering, Network, and Intelligent Multimedia 2020
SP - 12
EP - 17
BT - CENIM 2020 - Proceeding
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 International Conference on Computer Engineering, Network, and Intelligent Multimedia, CENIM 2020
Y2 - 17 November 2020 through 18 November 2020
ER -