Robust identification of human activities in buildings using multiple sensor system

Masayoshi Ashihara, Akira Mita

研究成果: Conference contribution

抄録

As a first step to realizing "Biofication of Living Space" that needs spatial recognition for accommodation and evolution, a new human identification system was developed. The system can identify human activities using information from multiple sensors. Acceleration sensors, pyroelectric infrared sensors and microphone were adopted in this study. And these sensors' information was fused and handled together. Therefore, the system recognized 10 persons with up to 91.3 percent accuracy by 21 dimensional feature quantities. And also, it was confirmed that by combination of multiple sensors' information, the false discrimination rate was reduced by about half compared to single sensor's information. Simultaneous identification of multi persons was performed. Using the extracted feature quantities, the discrimination rate was calculated in 3 settings of learn data. When learn data was extracted data of measurement that tested 4 persons walked alone, the system recognizes 4 persons with up to 80 percent accuracy. Moreover, even in situation that lacked data from some sensors human identification can be achieved with more than 80 percent accuracy.

本文言語English
ホスト出版物のタイトルSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009
PART 1
DOI
出版ステータスPublished - 2009
イベントSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009 - San Diego, CA, United States
継続期間: 2009 3月 92009 3月 12

出版物シリーズ

名前Proceedings of SPIE - The International Society for Optical Engineering
番号PART 1
7292
ISSN(印刷版)0277-786X

Other

OtherSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009
国/地域United States
CitySan Diego, CA
Period09/3/909/3/12

ASJC Scopus subject areas

  • 電子材料、光学材料、および磁性材料
  • 凝縮系物理学
  • コンピュータ サイエンスの応用
  • 応用数学
  • 電子工学および電気工学

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