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The performance obtained is generally positive, on average the RMSE on the 1798 falls is about 160 饾憵饾憼

Time of Impact Estimation Figure 5 shows the RMSE for different subjects, falls, considering the best parameters on the test data

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How can AI reduce fall injuries in the workplace?

eess.SP 路 2025-05-30 路 conditional 路 novelty 4.0

A wearable-oriented fall detection plus fall impact time estimation system achieves 82.6% sensitivity, 98.4% specificity on falls, 94.4% specificity on daily activities, and a 160ms RMSE for time of impact on SisFall.

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  • How can AI reduce fall injuries in the workplace? eess.SP 路 2025-05-30 路 conditional 路 none 路 ref 7

    A wearable-oriented fall detection plus fall impact time estimation system achieves 82.6% sensitivity, 98.4% specificity on falls, 94.4% specificity on daily activities, and a 160ms RMSE for time of impact on SisFall.