An attention-based LSTM model predicts heat stress from heart rate, HRV, and SpO2 data with 95.4% accuracy and 0.982 F1 score on a 19-worker dataset.
Assessing mental workload in virtual reality based eot crane operations: A multi-measure approach,
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Enhancing Construction Worker Safety in Extreme Heat: A Machine Learning Approach Utilizing Wearable Technology for Predictive Health Analytics
An attention-based LSTM model predicts heat stress from heart rate, HRV, and SpO2 data with 95.4% accuracy and 0.982 F1 score on a 19-worker dataset.