TY - GEN
T1 - AI-Powered Early Detection of Musculoskeletal Disorders in Garment Industry Operators
AU - Vijayvargiya, Ankit
AU - Paliwal, Shruti
AU - Gehlot, Naveen
AU - Kumar, Rajesh
AU - Moran, Kieran
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The issue of work-related musculoskeletal disorders (WRMSD) is becoming increasingly prominent in occupational health and workplace safety, affecting a growing number of individuals. This pressing issue demands increased attention, especially in crucial sectors like the garment industry. In response to this challenge, our study focuses on developing and evaluating deep learning models to facilitate the early prediction and diagnosis of WRMSD in garment industry workers. This research investigates the potential of several deep learning models and conducts a comparative analysis of their performance metrics. The findings demonstrate that the Bi-directional Gated Recurrent Unit model achieved a remarkable accuracy of 97.19%, surpassing all other deep learning models examined in this study.
AB - The issue of work-related musculoskeletal disorders (WRMSD) is becoming increasingly prominent in occupational health and workplace safety, affecting a growing number of individuals. This pressing issue demands increased attention, especially in crucial sectors like the garment industry. In response to this challenge, our study focuses on developing and evaluating deep learning models to facilitate the early prediction and diagnosis of WRMSD in garment industry workers. This research investigates the potential of several deep learning models and conducts a comparative analysis of their performance metrics. The findings demonstrate that the Bi-directional Gated Recurrent Unit model achieved a remarkable accuracy of 97.19%, surpassing all other deep learning models examined in this study.
UR - https://www.scopus.com/pages/publications/85193003488
UR - https://www.scopus.com/pages/publications/85193003488#tab=citedBy
U2 - 10.1109/ASSIC60049.2024.10507807
DO - 10.1109/ASSIC60049.2024.10507807
M3 - Conference contribution
AN - SCOPUS:85193003488
T3 - Proceedings of 2nd International Conference on Advancements in Smart, Secure and Intelligent Computing, ASSIC 2024
BT - Proceedings of 2nd International Conference on Advancements in Smart, Secure and Intelligent Computing, ASSIC 2024
A2 - Mishra, Sushruta
A2 - Tripathy, Hrudaya Kumar
A2 - Mohanty, Jnyana Ranjan
A2 - Mishra, Sambit
A2 - Gaber, Tarek
A2 - Sahoo, Kshira Sagar
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Advancements in Smart, Secure and Intelligent Computing, ASSIC 2024
Y2 - 27 January 2024 through 29 January 2024
ER -