Mood, Stress & Activity Tracking Devices
20150401 - 20160930
Dr Lap Wai, Lydia Leung
1. Activity tracking module [Completion Date: 4 months after project start] 2. Module for heart rate, heart rate variability, breathing rate, stress and cognitive health measurement [Completion Date: 6 months after project start] 3. System for collecting physiological/cognitive health data and mood recognition through Bluetooth/WiFi/ZigBee [Completion Date: 6 months after project start] 4. Field test of the dongle for activity, physiological and cognitive health data collection [Completion Date: 10 months after project start] 5. Cognitive Active Index (CAI) based on activity, physiological and cognitive health measurement results [Completion Date: 12 months after project start] 6. System for screening physiological and cognitive health [Completion Date: 12 months after project start] 7. CAI model based on data collected in field test [Completion Date: 18 months after project start] 8. Product design for elderly and health conscious people comfort and easy wearing [Completion Date: 18 months after project start] 9. Contract Service Deliverables with Customer (1) (i) Mental stress and sleep monitoring device user control and display application interface software (APK format) (ii) 5 prototypes of the mental stress and sleep monitoring device
Dr Enboa WU Mr Ryan CHUNG Dr Vincent CHEN Dr Wing yan HO Mr Kenric Lam Mr Thomas Cheng Mr Kam Lai Wong Mr Arsenic Sze Mr Chi Tin Luk Dr Gerald Sze Dr Anita Yee Mr W K Luk Mr Sunny Chen Mr Eric LAI Mr Luis Ng Mr Raymond To Ms Carmen LIU Ms Kat KWAN Ms Wenbo GU Mr Morton MO Ms Alice CHOW
Heal Force Development Limited [Sponsor] Hong Kong Alzheimer’s Disease Association Shenzhen Breo Technology Co. Ltd. Shenzhen Breo Technology Co. Ltd. (Contract Service) [Sponsor] Shenzhen Breo Technology Co. Ltd. (Technology Licensing) [Sponsor] The University of Hong Kong, Sau Po Center on Ageing Wintronic Technology Limited [Sponsor]
According to Census and Statistics Department (C&SD) in Hong Kong, it is estimated that more than 1/3 population is over 65 years old in 2041. Ageing becomes one of the greatest health, social, and economic world-wide challenges in the 21st century. Age-related or pathological (e.g. Alzheimer’s disease) cognitive decline leading to dependency of elderly is a major concern. With timely detection, diagnosis and intervention with continual assessments of cognitive impairments, huge medical and social burden can be greatly alleviated. We target at developing a system to facilitate early detection and screening of elderly with cognitive health problems and also assessing the stress level of caregivers. This system can facilitate the professional cognitive assessments in a more scientific way. In addition, we will use this system to promote early detection and continual monitoring of cognitive impairment, as well as to improve the experience and ease of cognitive assessment for the elderly in Hong Kong before and after non-pharmaceutical intervention such as physical/mental training. In this project, we aim at developing a system to assist the assessment of cognitive health of user through the detection of activity, stress, focus and mood.