Developers are increasingly innovating passive monitoring technology to help the elderly stay safe and healthy, as chronic illnesses among US adults continue to rise, and a growing population of people aged 65 and older desire to age at home. Rather than using wearable sensors, engineers at the University of Waterloo have designed an AI-driven, low-power, millimeter-wave wireless technology that detects falls and monitors seniors’ health, with wireless millimeter wave radar devices developed for Internet of Things (IoT) applications.

The radar devices emit low-power radio waves that can penetrate walls and are reflected back by the human body. The system then analyzes the reflected waves to detect falls and monitor physical activities, such as walking, standing, and sitting, without the need for wearables or any physical contact with the user. By analyzing the radar data, the system can also track how long the user spends in the bathroom, measure their gait parameters, and monitor their sleep and sedentary behavior. The data is then analyzed using deep learning AI models to alert caregivers and clinical personnel of any changes in mobility and potential health threats.

Article written by  Bruce Brown/ Image by Erre Gálvez/The Guardian



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