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August 23, 2025SensorsOpen Access

Enhancing Real-World Fall Detection Using Commodity Devices: A Systematic Study

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Experimental study shows enhanced fall detection accuracy with accelerometer and gyroscope data, suggesting new approaches for real-time application.

Achieving a notable F1-score of 92% in real-world fall detection underscores improved accuracy in complex environments.
Data from ten participants demonstrated how model retraining with real-time streaming feedback reduces false positives significantly.
Combining wrist and hip accelerometer data with gyroscope input improves fall detection, vital for older adults' safety.
The refined model effectively generalizes to natural movements of older adults, minimizing incorrect alerts during regular activities.

Yasmin et al. (2025) studied this question.

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Experimental study shows enhanced fall detection accuracy with accelerometer and gyroscope data, suggesting new approaches for real-time application.