Study on multi-sensor unit for monitoring of living space environment and classification of daily activities

Kazuki Hirasawa, Atsushi Saitoh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

We proposed a sensing system in order to watch for and to provide information about aged people in his room. Our system is based on measurement of indoor environmental changes (gas concentration, temperature, humidity, brightness, and so on) according to daily activities of residents. Measured data is used to recognize resident's activities, such as cooking, eating, sleeping, going out, bathing, and so on. In the aim of realizing those system, we developed a multi-sensor system with the following features. 1) Various types of sensor can be connected without any adjustment of interface circuit. 2) The exchange of sensors is easy. 3) The adjustment of the sensor sensitivity is easy. Our sensor system is effective to measure a object which is complex and which changes slowly, and to understand and evaluate the object like indoor environment in real world around us. We monitored indoor environmental changes using the system, and made evaluations on the ability of classification of daily activities.

Original languageEnglish
Title of host publication2009 IEEE/SICE International Symposium on System Integration
Subtitle of host publicationSI International 2008 - The 2nd Symposium on System Integration
Pages101-106
Number of pages6
DOIs
Publication statusPublished - 2009 Dec 1
Event2nd International Symposium on System Integration, SII 2009 - Tokyo, Japan
Duration: 2009 Nov 292009 Nov 29

Publication series

Name2009 IEEE/SICE International Symposium on System Integration: SI International 2008 - The 2nd Symposium on System Integration

Conference

Conference2nd International Symposium on System Integration, SII 2009
Country/TerritoryJapan
CityTokyo
Period09/11/2909/11/29

Keywords

  • Classification
  • Monitoring
  • Physical and chemical sensor

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics

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