A Fast EMG-Based Algorithm for Upper-Limb Motion Intention Detection by Using Levant’s Differentiators
Electromyography (EMG) signals are widely used for predicting human movement intention in the operation of robotic assistive devices that improve the quality of people’s lives with motor problems. One of the current challenges controlling such devices is achieving a natural interaction be...
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IEEE
2022-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/9919190/ |
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author | Mayumi Hori Uribe Carlos Renato Vazquez Javier M. Antelis |
author_facet | Mayumi Hori Uribe Carlos Renato Vazquez Javier M. Antelis |
author_sort | Mayumi Hori Uribe |
collection | DOAJ |
description | Electromyography (EMG) signals are widely used for predicting human movement intention in the operation of robotic assistive devices that improve the quality of people’s lives with motor problems. One of the current challenges controlling such devices is achieving a natural interaction between the device and the user. However, the most common algorithms applied in motion detection exhibit a slow time response. In this work, we propose the use of robust differentiator algorithms to extract features from EMG signals that allow a fast detection of movement intention. Experimental results show that by using robust differentiator algorithms, we can significantly reduce the latency between the detection movement intention and the real movement, without losing accuracy. |
first_indexed | 2024-04-13T15:38:45Z |
format | Article |
id | doaj.art-5d9cdb2e68b04d7d849463b86fbb4836 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-04-13T15:38:45Z |
publishDate | 2022-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-5d9cdb2e68b04d7d849463b86fbb48362022-12-22T02:41:12ZengIEEEIEEE Access2169-35362022-01-011011162311163510.1109/ACCESS.2022.32145319919190A Fast EMG-Based Algorithm for Upper-Limb Motion Intention Detection by Using Levant’s DifferentiatorsMayumi Hori Uribe0https://orcid.org/0000-0002-7309-4605Carlos Renato Vazquez1https://orcid.org/0000-0003-4191-4143Javier M. Antelis2https://orcid.org/0000-0003-3377-0813Escuela de Ingenieria y Ciencias, Tecnologico de Monterrey, Zapopan, MexicoEscuela de Ingenieria y Ciencias, Tecnologico de Monterrey, Zapopan, MexicoEscuela de Ingenieria y Ciencias, Tecnologico de Monterrey, Zapopan, MexicoElectromyography (EMG) signals are widely used for predicting human movement intention in the operation of robotic assistive devices that improve the quality of people’s lives with motor problems. One of the current challenges controlling such devices is achieving a natural interaction between the device and the user. However, the most common algorithms applied in motion detection exhibit a slow time response. In this work, we propose the use of robust differentiator algorithms to extract features from EMG signals that allow a fast detection of movement intention. Experimental results show that by using robust differentiator algorithms, we can significantly reduce the latency between the detection movement intention and the real movement, without losing accuracy.https://ieeexplore.ieee.org/document/9919190/Electromyography (EMG)decoding motion intentionsliding mode control (SMC) |
spellingShingle | Mayumi Hori Uribe Carlos Renato Vazquez Javier M. Antelis A Fast EMG-Based Algorithm for Upper-Limb Motion Intention Detection by Using Levant’s Differentiators IEEE Access Electromyography (EMG) decoding motion intention sliding mode control (SMC) |
title | A Fast EMG-Based Algorithm for Upper-Limb Motion Intention Detection by Using Levant’s Differentiators |
title_full | A Fast EMG-Based Algorithm for Upper-Limb Motion Intention Detection by Using Levant’s Differentiators |
title_fullStr | A Fast EMG-Based Algorithm for Upper-Limb Motion Intention Detection by Using Levant’s Differentiators |
title_full_unstemmed | A Fast EMG-Based Algorithm for Upper-Limb Motion Intention Detection by Using Levant’s Differentiators |
title_short | A Fast EMG-Based Algorithm for Upper-Limb Motion Intention Detection by Using Levant’s Differentiators |
title_sort | fast emg based algorithm for upper limb motion intention detection by using levant x2019 s differentiators |
topic | Electromyography (EMG) decoding motion intention sliding mode control (SMC) |
url | https://ieeexplore.ieee.org/document/9919190/ |
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