Comparative analysis of CNN, RNN and LSTM for synthetic grip strength prediction

This study assesses the effectiveness of deep learning models, specifically Recurrent Neural Network (RNN), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM), in assessing synthetic grip strength data for stress ball and pencil grips. The aim is to determine the optimal model fo...

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Bibliographic Details

Main Authors:	Syazwan, N. A. A., Shaharum, Syamimi Mardiah, Faudzi, A. A. M., W. Samsudin, Wan Syahirah, Sundaraj, Kenneth, Jasni, Farahiyah
Format:	Proceeding Paper
Language:	en en
Published:	IEEE 2025
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://irep.iium.edu.my/124565/1/124565_Comparative%20analysis%20of%20CNN.pdf http://irep.iium.edu.my/124565/2/124565_Comparative%20analysis%20of%20CNN_SCOPUS.pdf http://irep.iium.edu.my/124565/ https://ieeexplore.ieee.org/document/11150935/
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