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 …

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 …

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 …

[PDF][PDF] Pattern recognition of sEMG signals using DWT based feature and SVM Classifier

Y Narayan, V Ahlawat, S Kumar - Int J Adv Sci Technol, 2020 - researchgate.net
Surface electromyogram (sEMG) signals have been widely utilized for various robotics and
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) …

DWT-based hand movement identification of EMG signals using SVM

V Ahlawat, Y Narayan, D Kumar - Proceedings of International Conference …, 2021 - Springer
Electromyogram (EMG) signals are widely used in rehabilitation, medical, engineering,
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

Y Narayan, RM Singh, L Mathew, S Chatterji - Advanced Informatics for …, 2019 - Springer
This paper presents a framework of surface electromyography signals based robotic arm
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

MM Sidik, SC Ghani, A Nasir… - Int J Eng Trends …, 2022 - researchgate.net
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 …

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 …