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Chusak Thanawattano. The effect of signal interval from sEMG sensors combined with mechanical sensors on the classification of walking patterns and posture activities. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2022.
The effect of signal interval from sEMG sensors combined with mechanical sensors on the classification of walking patterns and posture activities
Name: Jakkapong Nuanyai
Organization :
Thammasat University. Thammasat School of Engineering
Email :
jakkapong.nuan@dome.tu.ac.th
Name: Nopadol Uchaipichat
Organization :
Thammasat University. Thammasat School of Engineering
Email :
unopadol@engr.tu.ac.th
Name: Chusak Thanawattano
Organization :
Thammasat University. Thammasat School of Engineering
Email :
chusak.tha@nstda.or.th
keyword:
Exoskeleton devices
LCSH:
Electromyography
LCSH:
Human locomotion
LCSH:
Machine learning
LCSH:
Robotics
-- Control systems
Abstract:
Forecasting human movement under various conditions is very challenging for controlling exoskeleton robots that support daily life activities. This paper studies appropriate time intervals following the start of movement for predicting posture types. Surface electromyography (sEMG) signals are used as markers of movement starting time. Characteristic features extracted from sEMG and mechanical signals are analyzed for classification. Four time intervals after the start of movement are investigated in the experiments, including 500, 1000, 1500, and 2000 millisecond intervals. The Ensemble Subspace Discriminant method is employed as the classification technique. The results show that the combination of sEMG and mechanical signals achieves the best performance with an accuracy of 97.09 ± 0.29%. Classification results from all sensors processed at intervals of 500, 1000, 1500, and 2000 milliseconds achieve accuracies of 86.21 ± 0.49%, 92.9 ± 0.46%, 94.4 ± 0.67%, and 97.09 ± 0.29%, respectively.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2022
Modified:
2026-05-12
Issued:
2026-05-12
บทความ/Article
application/pdf
BibliograpyCitation :
In Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI) Association, Thailand. 2022 19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON 2022) (1570793679). Bangkok : ECTI Association
eng
©copyrights King Mongkut's University of Technology North Bangkok
RightsAccess:
ใช้เวลา
0.035319 วินาที
Jakkapong Nuanyai
| Title | Contributor | Type |
|---|---|---|
| The effect of signal interval from sEMG sensors combined with mechanical sensors on the classification of walking patterns and posture activities
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Jakkapong Nuanyai;Nopadol Uchaipichat;Chusak Thanawattano | บทความ/Article |
Nopadol Uchaipichat
| Title | Contributor | Type |
|---|---|---|
| Screening for Parkinson's disease using continuous figure-eight drawing with artificial neural network system
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Chatchai Buekban;Chusak Thanawattano;Roongroj Bhidayasiri;Pattamon Panyakaew;Nopadol Uchaipichat | บทความ/Article |
Chusak Thanawattano
| Title | Contributor | Type |
|---|---|---|
| Screening for Parkinson's disease using continuous figure-eight drawing with artificial neural network system
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Chatchai Buekban;Chusak Thanawattano;Roongroj Bhidayasiri;Pattamon Panyakaew;Nopadol Uchaipichat | บทความ/Article | |
| The effect of signal interval from sEMG sensors combined with mechanical sensors on the classification of walking patterns and posture activities
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Jakkapong Nuanyai;Nopadol Uchaipichat;Chusak Thanawattano | บทความ/Article |