A noncontact-sensor surveillance system towards assisting independent living for older people

Yan Wang, Shuang Cang, Hongnian Yu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

In this paper, we propose a framework which provides the temporal and spatial context for daily routine inferring in an ambient-assisted-living environment equipped with several sets of passive infrared (PIR) sensors. The inferred information could help identify the user's daily pattern and abnormalities from long-term monitoring. We implemented the prototype of the system from the electric parts and software parts. The effectiveness of the proposed framework is reflected by the initial results over one day's continuous monitoring of two individual older participants. The framework could satisfy the basic needs of older people who seek an unobtrusive and practical way to assist their daily life. The extended system can be expected to combine with wearable sensors to meet different applications.

Original languageEnglish
Title of host publicationICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing
Subtitle of host publicationAddressing Global Challenges through Automation and Computing
PublisherIEEE
Number of pages5
ISBN (Electronic)9780701702618
ISBN (Print)9781509050406
DOIs
Publication statusPublished - 23 Oct 2017
Event23rd IEEE International Conference on Automation and Computing, ICAC 2017 - Huddersfield, United Kingdom
Duration: 7 Sep 20178 Sep 2017

Conference

Conference23rd IEEE International Conference on Automation and Computing, ICAC 2017
Country/TerritoryUnited Kingdom
CityHuddersfield
Period7/09/178/09/17

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