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The Home Context Verification Module of the Metaverse Assisted Living Support System
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- Authors
- EunJin Ko, JongHyun Jang
- Issue Date
- 2015-07
- Citation
- International Conference on Modeling, Simulation and Visualization Methods (MSV) 2015, pp.95-96
- Language
- English
- Type
- Conference Paper
- Abstract
- As the number of the old and the handicapped to increase, it is needed to take care these closely and continuously. However, it is difficult to support those people closely because members of family didn’t live together or care all day long. To meet this problem, many people lived in the nursing home or they lived alone who want to stay in their hometown without continuously care by relatives or other people. To solve this problem, there are many efforts to provide convenience methods of this issue. Many of them tried to gather all kinds of data from home devices and sensors, filtered row data and made a decision what was happened at home. After decision, some sort of systems notified other people who were normally related with the monitored person the situation of monitored house and let them respond the situation. The related researches focus on the improvement of sensed data analysis from home devices and sensors. However, the analysis of house situation with sensed data is not covered with the house situation because of several reasons: sensing data accurateness, model definition of house situation decision and a difference home living pattern of each person. So we turn the eye on the home living pattern which is built by a person who knows well the living pattern and is corrected by sensed data and respond data to make up for the house situation decision quality. With this subject, this paper presents the Metaverse Assisted Living Support System (MALSS) to support the old who should need a help from relatives or others. In MALSS, we try to combine sensed data and home living pattern to find out the house situation and provide easily user interface (UI) with cyberspace technology for easily service access.
- KSP Keywords
- Context verification, Data analysis, Home Devices, Living support, Model definition, Nursing home, Sensing data, Service access, User interface(UI), Verification Module, assisted living