Researchers at the University of Waterloo have developed a cloud-based system for non-contact, real-time monitoring of elderly people’s health in their living spaces without wearable devices. The system employs low-power millimeter-wave radio systems and AI to track individuals’ activities continuously and accurately, alerting healthcare workers to potential health issues or sudden falls.
The technology can be mounted on walls or ceilings and overcomes the limitations of wearable devices. The system has an overall accuracy of 93% for trained subjects and 86% for new subjects while maintaining privacy by not requiring subjects to wear or carry any additional devices.
- Abedi H, Ansariyan A, Morita PP, Wong A, Boger J, Shaker G. AI-Powered Non-Contact In-Home Gait Monitoring and Activity Recognition System Based on mm-Wave FMCW Radar and Cloud Computing. IEEE Internet of Things Journal. Published online 2023:1-1. doi: https://doi.org/10.1109/jiot.2023.3235268
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