Elderly people could live independently for longer thanks to new home sensor system which detects emergencies
Older people could be monitored safely in their own homes without the need for intrusive cameras or wearable devices thanks to new research by Nottingham Trent University (NTU).
A groundbreaking home sensor system could enable seniors to remain independent in their own residences for extended periods, according to research led by Nottingham Trent University. This innovative technology, developed in partnership with Integrated System Technologies, integrates radar, thermal sensors, and smart plugs to monitor daily routines while preserving privacy.
The system, described in the journal Sensors, employs millimeter-wave radar to detect movement across the home, smart plugs to monitor appliance usage, and low-resolution thermal sensors to identify body postures. These sensors, discreetly placed throughout the residence, transmit pixelated data that prevents the capture of detailed images or facial recognition, ensuring personal privacy is maintained.
Artificial intelligence processes the sensor data to recognize patterns and detect anomalies such as falls, heart attacks, or gradual declines in health. Should an emergency arise, appropriate authorities are promptly alerted, allowing for timely intervention. The system's efficacy was validated through testing in various simulated home settings, demonstrating that the combined sensor data outperformed standalone monitoring tools.
Lead researcher Dr. Yangang Xing emphasized the system's potential to support older adults who wish to remain in their homes, thereby delaying the need for residential care. Bilal Mohammed, one of the co-authors, highlighted the system's ability to provide early warnings of deteriorating health or mobility issues, enabling proactive care. This advancement promises to empower seniors to enjoy their homes with the assurance that their well-being is closely monitored without compromising their privacy.
Written by urgent.news from Medical Xpress's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.