An Interpretable Modular Deep Learning Framework for Video-Based Fall Detection
Micheal Dutt,
Aditya Gupta,
Morten Goodwin
et al.
Abstract:Falls are a major risk factor for older adults, increasing morbidity and healthcare costs. Video-based fall-detection systems offer crucial real-time monitoring and assistance. Yet, their deployment faces challenges such as maintaining privacy, reducing false alarms, and providing understandable outputs for healthcare providers. This paper introduces an innovative automated fall-detection framework that includes a Gaussian blur module for privacy preservation, an OpenPose module for precise pose estimation, a … Show more
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