Abstract: In today's fast-paced world, families often struggle to provide continuous care for elderly relatives, raising concerns about the risk of falls and related injuries. While existing fall detection systems offer a solution, reliance on wearable sensors presents practical challenges and discomfort. To overcome this, an innovative automatic fall detection and alert system has emerged. Utilizing computer vision techniques for pose detection and integrating a sophisticated deep learning model, this system offers non-intrusive monitoring without wearable devices. Its swift detection of falls and instant alerts signify a significant advancement in elder care, tackling healthcare challenges associated with aging populations.
Keywords: Computer vision, Pose detection, Deep learning model.
Cite:
Rajesh N Kamath, Disha, Disha Ballal, Medhini Shetty, Rachana Adiga, "ROBOTIC ASSISTANCE FOR ELDERLY CARE", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 3, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.133108.
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DOI:
10.17148/IJARCCE.2024.133108
