Robust identification of human activities in buildings using multiple sensor system

Masayoshi Ashihara, Akira Mita

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

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Volume7292
EditionPART 1
DOIs
Publication statusPublished - 2009
EventSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009 - San Diego, CA, United States
Duration: 2009 Mar 92009 Mar 12

Other

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

Fingerprint

Sensor
sensors
Sensors
Person
Percent
Discrimination
discrimination
Infrared Sensor
System Identification
system identification
accommodation
Microphones
Human
Buildings
microphones
Identification (control systems)
Infrared radiation

Keywords

  • Human identification
  • Multiple sensors
  • Sensor fusion

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

Cite this

Ashihara, M., & Mita, A. (2009). Robust identification of human activities in buildings using multiple sensor system. In Proceedings of SPIE - The International Society for Optical Engineering (PART 1 ed., Vol. 7292). [72922X] https://doi.org/10.1117/12.815648

Robust identification of human activities in buildings using multiple sensor system. / Ashihara, Masayoshi; Mita, Akira.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 7292 PART 1. ed. 2009. 72922X.

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

Ashihara, M & Mita, A 2009, Robust identification of human activities in buildings using multiple sensor system. in Proceedings of SPIE - The International Society for Optical Engineering. PART 1 edn, vol. 7292, 72922X, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009, San Diego, CA, United States, 09/3/9. https://doi.org/10.1117/12.815648
Ashihara M, Mita A. Robust identification of human activities in buildings using multiple sensor system. In Proceedings of SPIE - The International Society for Optical Engineering. PART 1 ed. Vol. 7292. 2009. 72922X https://doi.org/10.1117/12.815648
Ashihara, Masayoshi ; Mita, Akira. / Robust identification of human activities in buildings using multiple sensor system. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 7292 PART 1. ed. 2009.
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