What is it about?
A camera-based compact monitoring system for older adults to stay in their own homes longer has been developed. It’s video-less for privacy protection, processing the visual data from the camera in real-time without storing any face, body, or personal identification information. It can monitor the person’s behaviors, their upper body motion, their gait, and the environmental context, etc., and build a personalized behavioral model. Compared to commercially available methods with human key-point pose detection (e.g., Xbox Kinect), our system, with advanced human body motion estimation and gait analysis methods, can observe subtle signs of physical behavioral changes in real-world household scenarios with high accuracy, specifically designed for multiple healthcare applications. Furthermore, it’s safe and privacy-protected, with no internet connection and no risk of data leaks. No personal sensitive data, images, or videos are recorded.
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Photo by Ravi Patel on Unsplash
Why is it important?
For the public, our system offers potentially significant benefits for older adults living alone. Monitoring enables the timely detection of some acute medical conditions and facilitates early intervention. Individuals with chronic medical conditions can find valuable assistance in self-managing their condition's progression, staying safe, and achieving improved health outcomes, ultimately leading to longer independent living. Monitoring technology can free up families and carers’ time, reduce the cost and workload associated with caregiving.
Perspectives
This system can be further extended to the broader public to observe behavioral changes on a larger scale (e.g., related to epidemics) or to remind the community to stay active, promoting overall health and well-being. This technology can create a new market for unobtrusive monitoring solutions. Sharing our research findings with healthcare providers and policymakers might lead to lower hospitalizations, reduced costs, and better resource allocation.
Longfei Chen
University of Edinburgh
Read the Original
This page is a summary of: MISO: Monitoring Inactivity of Single Older Adults at Home using RGB-D Technology, ACM Transactions on Computing for Healthcare, July 2024, ACM (Association for Computing Machinery),
DOI: 10.1145/3674848.
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