Behaviour Recognition Method, Device and Wearable Device

Principal Investigators:
Prof. Mingguang HE, Henry G. Leong Professor in Elderly Vision Health and Chair Professor of Experimental Ophthalmology, School of Optometry; Director of Research Centre for SHARP Vision
Dr TO Yuen Ying Elaine, Postdoctoral Fellow in Ophthalmology, School of Optometry

Behaviour Recognition Method, Device and Wearable Device This invention features a smart health-monitoring watch and platform that analyses multiple types of data in real-time and provides alerts on health patterns, events and behavioural changes. 

The device leverages an intelligent health-monitoring technology designed to recognise and process multiple sources of data in real-time. It continuously monitors a diverse range of sensor inputs, including non-identifiable sound, GPS, accelerometer and photoplethysmograpy, and sends the data to a cloud-based 4G network. Using deep learning, the platform then analyses behavioural patterns, health fluctuations and specific health events, and present its findings through a visual alert interface, providing users with immediate feedback.