Evaluating Performance of Different Machine Learning Algorithms for the Acute EMG Hand Gesture Datasets
Jeevanshi Sharma , Rajat Maheshwari, Salman Khan, Abid Ali Khan
Open Access
Volume - 4 • Issue - 3 • september 2022
https://doi.org/10.36548/jei.2022.3.007
Abstract
In this paper, different machine learning and tabular learning classification algorithms have been studied and compared on the acute hand-gesture Electromyogram dataset. The comparative study between different models such as KNN, RandomForest, TabNet, etc. depicts that small datasets can achieve high-level accuracy along with the intuition of high-performing neural net architectures through tabular learning approaches like TabNet. The performed analysis produced an accuracy of 99.9% through TabNet while other conventional classifiers also gave satisfactory results with KNN being at highest achieving accuracy of 97.8 %.
Cite this article
Sharma, Jeevanshi, Rajat Maheshwari, Salman Khan, and Abid Ali Khan. "Evaluating Performance of Different Machine Learning Algorithms for the Acute EMG Hand Gesture Datasets." Journal of Electronics and Informatics 4, no. 3 (2022): 192-201. doi: 10.36548/jei.2022.3.007
Copy Citation
Sharma, J., Maheshwari, R., Khan, S., & Khan, A. A. (2022). Evaluating Performance of Different Machine Learning Algorithms for the Acute EMG Hand Gesture Datasets. Journal of Electronics and Informatics, 4(3), 192-201. https://doi.org/10.36548/jei.2022.3.007
Copy Citation
Sharma, Jeevanshi, et al. "Evaluating Performance of Different Machine Learning Algorithms for the Acute EMG Hand Gesture Datasets." Journal of Electronics and Informatics, vol. 4, no. 3, 2022, pp. 192-201. DOI: 10.36548/jei.2022.3.007.
Copy Citation
Sharma J, Maheshwari R, Khan S, Khan AA. Evaluating Performance of Different Machine Learning Algorithms for the Acute EMG Hand Gesture Datasets. Journal of Electronics and Informatics. 2022;4(3):192-201. doi: 10.36548/jei.2022.3.007
Copy Citation
J. Sharma, R. Maheshwari, S. Khan, and A. A. Khan, "Evaluating Performance of Different Machine Learning Algorithms for the Acute EMG Hand Gesture Datasets," Journal of Electronics and Informatics, vol. 4, no. 3, pp. 192-201, Sep. 2022, doi: 10.36548/jei.2022.3.007.
Copy Citation
Sharma, J., Maheshwari, R., Khan, S. and Khan, A.A. (2022) 'Evaluating Performance of Different Machine Learning Algorithms for the Acute EMG Hand Gesture Datasets', Journal of Electronics and Informatics, vol. 4, no. 3, pp. 192-201. Available at: https://doi.org/10.36548/jei.2022.3.007.
Copy Citation
@article{sharma2022,
author = {Jeevanshi Sharma and Rajat Maheshwari and Salman Khan and Abid Ali Khan},
title = {{Evaluating Performance of Different Machine Learning Algorithms for the Acute EMG Hand Gesture Datasets}},
journal = {Journal of Electronics and Informatics},
volume = {4},
number = {3},
pages = {192-201},
year = {2022},
publisher = {IRO Journals},
doi = {10.36548/jei.2022.3.007},
url = {https://doi.org/10.36548/jei.2022.3.007}
}
Copy Citation
Keywords
Machine Learning
TabNet
Hand Gestures
EMG Dataset
XG Boost Algorithm
