Fatigue Monitoring Using Wearables and AI: Trends, Challenges, and Future Opportunities

K Kakhi, SK Jagatheesaperumal, A Khosravi… - arXiv preprint arXiv …, 2024 - arxiv.org
Monitoring fatigue is essential for improving safety, particularly for people who work long
shifts or in high-demand workplaces. The development of wearable technologies, such as …

Physical fatigue prediction based on heart rate variability (HRV) features in time and frequency domains using artificial neural networks model during exercise

Z Ahmad, MN Jamaludin, UK Jamaludin - International Conference on …, 2019 - Springer
Awareness on fatigue level is important for people in order to understand their physiology in
daily activities. This situation become more critical when involving physical exercise and …

[PDF][PDF] Using wearable sensors to evaluate material handling operator's fatigue in repetitive activities: A design of experiments approach

M Sudarsan - 2020 - digital.library.txstate.edu
Manual Material Handling is one the major causes which contributes to a large percentage
of musculoskeletal disorders. In a manufacturing environment, associates lift loads …

[引用][C] Comparative Prediction of Physical Fatigue Patterns in Bandung, Indonesia Workers using CNN and ANN

MFR Ardiansyah, R Wijaya, GS Wulandari - JURNAL MEDIA INFORMATIKA …, 2024