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A heart rate monitoring framework for real-world drivers using remote photoplethysmography
Automated detection of real-world falls: modeled from people with multiple sclerosis
Fall detection with UWB radars and CNN-LSTM architecture
Machine learning based suicide prediction for military personnel
Ubiquitous fall hazard identification with smart insole
Wearables and deep learning classify fall risk from gait in multiple sclerosis