Biofied Building for Active and Healthy Ageing Using Sensor Agent Robots

Research output: Contribution to journalArticle

Abstract

This paper presents a concept of new building system learning from adaption mechanisms of living things to support senior citizens who wish to stay in their homes for as long as possible. Sensor agent robots are used to improve their quality of life to curtail their potential risks associated with poor health, cognitive impairment, frailty and social exclusion. This system will help our society by reducing the number of care houses and care staffs as the senior citizens can stay in their homes for as long as possible. The "biofied building" system fully exploit the resources of the senior citizens themselves to extend their happy lives with the help of sensor agent robots. Lifelogs of the senior citizens are the most important elements of this system to identify their physical, social, mental and emotional status so that necessary actions are to be taken properly by embedded devices or telling the status to their family and/or care staffs. Unique aspect of this biofied building lies in their adaption mechanisms embedded. The adaption mechanisms consist of sensory adaption, adaption by learning, physiological adaption and evolutional adaption. The lifelogs are stored into a cloud server to be used for learning and discovery. Among the adaption mechanisms, we especially focus on physiological adaption and evolutional adaption as they are indispensable mechanisms for all living things. Without these mechanisms, none of them had not survived in harsh environments.

Original languageEnglish
Pages (from-to)3-8
Number of pages6
JournalProcedia Engineering
Volume188
DOIs
Publication statusPublished - 2017

Fingerprint

Aging of materials
Robots
Sensors
Learning systems
Servers
Health

Keywords

  • ageing society
  • robot
  • sensor agent

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Biofied Building for Active and Healthy Ageing Using Sensor Agent Robots. / Mita, Akira.

In: Procedia Engineering, Vol. 188, 2017, p. 3-8.

Research output: Contribution to journalArticle

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