Surface EMG signals and deep transfer learning-based physical action classification
Human physical action classification is an emerging area of research for human-to-machine
interaction, which can help to disable people to interact with real world, and robotics …
interaction, which can help to disable people to interact with real world, and robotics …
Multi-sensor fusion based industrial action recognition method under the environment of intelligent manufacturing
Z Wang, J Yan - Journal of Manufacturing Systems, 2024 - Elsevier
In the context of intelligent manufacturing and Industry 4.0, the manufacturing industry is
rapidly transitioning toward mass personalization production. Despite this trend, the …
rapidly transitioning toward mass personalization production. Despite this trend, the …
Flexible analytic wavelet transform based features for physical action identification using sEMG signals
Objectives Electromyography (EMG) is recording of the electrical activity produced by
skeletal muscles. The classification of the EMG signals for different physical actions can be …
skeletal muscles. The classification of the EMG signals for different physical actions can be …
An efficient approach for physical actions classification using surface EMG signals
Physical actions classification of surface electromyography (sEMG) signal is required in
applications like prosthesis, and robotic control etc. In this paper, tunable-Q factor wavelet …
applications like prosthesis, and robotic control etc. In this paper, tunable-Q factor wavelet …
Could thermal imaging supplement surface electromyography measurements for skeletal muscles?
1) Background: The aim of this study is to present the results of experiments in which surface
electromyography (sEMG) and thermal imaging were used to assess the muscle activation …
electromyography (sEMG) and thermal imaging were used to assess the muscle activation …
Machine learning and signal processing based analysis of semg signals for daily action classification
The way of living of many individuals around the world endures because of mental and
physical disability associated with the movement of limbs. The usage of the assistive …
physical disability associated with the movement of limbs. The usage of the assistive …
Physical actions classification of surface EMG signals using VMD
The musculoskeletal disorder of a patient can be analyzed by using surface electromyogram
(sEMG) signals. Its diagnosis is possible by classification of physical actions are bowing …
(sEMG) signals. Its diagnosis is possible by classification of physical actions are bowing …
EMG Physical Action Detection using Recurrence Plot Approach
AK Ajayan, B Premjith - Procedia Computer Science, 2024 - Elsevier
Electromyography (EMG) is used to identify neuromuscular illnesses, motor issues, nerve
damage, and degenerative ailments. EMG signals are difficult to accurately classify because …
damage, and degenerative ailments. EMG signals are difficult to accurately classify because …
Physical action categorization using signal analysis and machine learning
Daily life of thousands of individuals around the globe suffers due to physical or mental
disability related to limb movement. The quality of life for such individuals can be made …
disability related to limb movement. The quality of life for such individuals can be made …
Performance estimation and analysis over the supervised learning approaches for motor imagery EEG signals classification
In this paper, a comparative analysis has been done to estimate a robust classifier to classify
motor imagery EEG data. First, segment detection and feature extraction have been done …
motor imagery EEG data. First, segment detection and feature extraction have been done …