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Comparative analysis of SVM and Naive Bayes classifier for the SEMG signal classification
Y Narayan - Materials Today: Proceedings, 2021 - Elsevier
The surface electromyography (sEMG) signals are the human muscle signals which are
employed in various biomedical and engineering applications. Classification of sEMG …
employed in various biomedical and engineering applications. Classification of sEMG …
SEMG signal classification using KNN classifier with FD and TFD features
Y Narayan - Materials Today: Proceedings, 2021 - Elsevier
For develo** thebio-engineering inspired human–machine interface, surface
electromyography (SEMG) signals have been widely exploited in the last decade. Movement …
electromyography (SEMG) signals have been widely exploited in the last decade. Movement …
Hb vsEMG signal classification with time domain and Frequency domain features using LDA and ANN classifier
Y Narayan - Materials Today: Proceedings, 2021 - Elsevier
The surface electromyography (sEMG) signals have been widely employed for the
development of the human–machine interface and have enormous bio-engineering …
development of the human–machine interface and have enormous bio-engineering …
[PDF][PDF] Pattern recognition of sEMG signals using DWT based feature and SVM Classifier
Surface electromyogram (sEMG) signals have been widely utilized for various robotics and
medical engineering applications. In robotic rehabilitation, sEMG signal is used for …
medical engineering applications. In robotic rehabilitation, sEMG signal is used for …
Direct comparison of SVM and LR classifier for SEMG signal classification using TFD features
Y Narayan - Materials Today: Proceedings, 2021 - Elsevier
The performance of any bio-medical signal based robotic device depends upon the
classification accuracy of the system. In this context, surface electromyography (SEMG) …
classification accuracy of the system. In this context, surface electromyography (SEMG) …
DWT-based hand movement identification of EMG signals using SVM
Electromyogram (EMG) signals are widely used in rehabilitation, medical, engineering,
robotic, and industrial fields. For amputee's residual muscles control, EMG signals have …
robotic, and industrial fields. For amputee's residual muscles control, EMG signals have …
Surface EMG signal classification using ensemble algorithm, PCA and DWT for robot control
This paper presents a framework of surface electromyography signals based robotic arm
prototype control using discrete wavelet transform, principle component analysis, ensemble …
prototype control using discrete wavelet transform, principle component analysis, ensemble …
[PDF][PDF] Evaluation of misclassification matrix method in validation of an assistive device for manual wheelchair propulsion
Classification accuracy is essential in the bio signal's performance-based assistive devices.
In this study, surface electromyography (SEMG) signals acquisition was extracted from 3 …
In this study, surface electromyography (SEMG) signals acquisition was extracted from 3 …
TFD Feature-Based EMG Signals Identification for Hand Movement using QDA and MT Classifier
Y Narayan - … Approaches in Technology and Management for …, 2022 - ieeexplore.ieee.org
In the recent era of technology, the surface electromyography (SEMG) signal has attracted a
lot of bio-medical research trends. In this study, six different hand movements from SEMG …
lot of bio-medical research trends. In this study, six different hand movements from SEMG …