DocumentCode :
3695337
Title :
Lifelog visualization for elderly health care in Informationally Structured Space
Author :
Takenori Obo;Habeebah Adamu Kakudi;Yuri Yoshihara; Chu Kiong Loo;Naoyuki Kubota
Author_Institution :
Department of Artificial Intelligence, University of Malaya, Kuala Lumpur, Malaysia
fYear :
2015
fDate :
6/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
6
Abstract :
As the number of elderly people living alone increases, more caregivers are required to support the aging society. Such elderly people have little chances to communicate with other people and are likely to be socially isolated. The monitoring system is one of possible solutions to confirm the safety of elderly people. Sensor network or portable sensing devices can be applied to such monitoring systems. However, basically, such systems are unilateral systems to just observe human states. It is important for elderly people and their families to create opportunities for communicating with each other. Visualization based on lifelogging is one of the important and effective techniques implored to understand and share personal preference and lifestyle. If the elderly´s family members can share their hobbies, diversions and lifestyle, then they can easily select common topics to discuss and ensue communication. In this study, we develop a visualization system to represent personal relation between elderly people and their family members based on their daily activities. Moreover, this paper proposes a method of topological visualization based on the spring-mass-damper system (Spring Model).
Keywords :
"Robot sensing systems","Senior citizens","Neurons","Visualization","Springs","Monitoring"
Publisher :
ieee
Conference_Titel :
Informatics, Electronics & Vision (ICIEV), 2015 International Conference on
Type :
conf
DOI :
10.1109/ICIEV.2015.7334009
Filename :
7334009
Link To Document :
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