Research on Hybrid Information Evaluation Type Watching Technology for the Improvement of QOL of the Elderly

• Published in: Procedia computer science 2018, Vol.126, p.967-975
• Main Authors: Sawamto, Jun, Watanabe, Kota, Yajima, Hiroshi, Kurosawa, Manabu, Taniguchi, Yoji
• Format: Article
• Language: English
• Subjects: Household Electric Appliances; Life Log; Single Elderly Person; Total Load Current; Watching System
• ISSN: 1877-0509; 1877-0509
• DOI: 10.1016/j.procs.2018.08.031

The increase in living alone and old households due to aging of the society has led to a decline in the quality of life (QOL) of elderly people. How to maintain and improve the quality of life for elderly people is a pressing issue of society. We watch over the elderly from both aspects of health-related QOL and subjective QOL and work on creating a social system that realizes a safe and secure life for the elderly. In this research, we promote the health information database which holds health related information in the shared database system such as the cloud by the will of the person him/herself, and develop a method for mining various kinds of life log information and medical/care related information in a hybrid manner. In this paper, we propose a remote watching method inferring resident’s behavior related to the operation of electric appliances from the measurement of total load current of the household. We also attempt to perform hybrid data mining by combining subjective mood data and objective data with wearable sensors that can collect biological data. We aim to provide a system that brings a safe and secure life to the elderly by carrying out assessment and early detection of abnormal symptoms of them such as depression and dementia.