Classifying of resident's daily life pattern using indoor ambient atmosphere changes acquired by multiple sensor

Kazuki Hirasawa, Yoshinori Takei, Hidehito Nanto, Atsushi Saitoh

Research output: Contribution to journalArticle


In many countries facing the aged society, it is expected that the serious society problem like lonely death will be increasing. Therefore, a system watching over elder's life is very important. Then, we developed the system watching over elder's life using information about indoor ambient atmosphere changes. Indoor ambient atmosphere is changed by acted daily activities regardless of the age or sex of resident. Our system acquired such changes using 7 sensors (gas, temperature, humidity, brightness) and could recognize daily activities using information that extracted by observer. And, it could classify resident's daily life pattern using features that extracted by automatic feature extraction method from acquired ambient atmosphere changes. In this paper, at first, we describe an acquirement of indoor ambient atmosphere changes using multiple sensors and a classification of resident's daily activities. Next, we describe the method for detection of the information that related resident's daily activities from acquired indoor ambient atmosphere changes automatically, and the method for daily activity detection from integrated signal of multiple sensor signals. Finally, we describe result of classification of resident's daily life pattern using features extracted by automatic extraction method.

Original languageEnglish
Pages (from-to)328-335
Number of pages8
JournalIEEJ Transactions on Sensors and Micromachines
Issue number10
Publication statusPublished - 2017



  • Daily life pattern classification
  • Dynamical threshold setting
  • Generating evaluation signal
  • Indoor Ambient atmosphere changes
  • Multi-sensor Unit

ASJC Scopus subject areas

  • Mechanical Engineering
  • Electrical and Electronic Engineering

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