Low-cost and device-free activity recognition system with energy harvesting PIR and door sensors

Yukitoshi Kashimoto, Kyoji Hata, Hirohiko Suwa, Manato Fujimoto, Yutaka Arakawa, Takeya Shigezumi, Kunihiro Komiya, Kenta Konishi, Keiichi Yasumoto

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

10 Citations (Scopus)

Abstract

Progress of IoT and ubiquitous computing technologies has strong anticipation to realize smart services in households such as efficient energy-saving appliance control and elderly monitoring. In order to put those applications into practice, high-accuracy and low-cost in-home living activity recognition is essential. Many researches have tackled living activity recognition so far, but the following problems remain: (i)privacy exposure due to utilization of cameras and microphones; (ii) high deployment and maintenance costs due to many sensors used; (iii) burden to force the user to carry the device and (iv) wire installation to supply power and communication between sensor node and server; (v) few recognizable activities; (vi) low recognition accuracy. In this paper, we propose an in-home living activity recognition method to solve all the problems. To solve the problems (i){(iv), our method utilizes only energy harvesting PIR and door sensors with a home server for data collection and processing. The energy harvesting sensor has a solar cell to drive the sensor and wireless communication modules. To solve the problems (v) and (vi), we have tackled the following challenges: (a) determining appropriate features for training samples; and (b) determining the best machine learning algorithm to achieve high recognition accuracy; (c) complementing the dead zone of PIR sensor semipermanently. We have conducted experiments with the sensor by five subjects living in a home for 2{3 days each. As a result, the proposed method has achieved F-measure: 62.8% on average.

Original languageEnglish
Title of host publicationAdjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems
Subtitle of host publicationComputing, Networking and Services, MobiQuitous 2016
PublisherAssociation for Computing Machinery
Pages6-11
Number of pages6
ISBN (Electronic)9781450347594
DOIs
Publication statusPublished - Nov 28 2016
Externally publishedYes
Event13th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2016 - Hiroshima, Japan
Duration: Nov 28 2016Dec 1 2016

Publication series

NameACM International Conference Proceeding Series
Volume28-November-2016

Conference

Conference13th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2016
CountryJapan
CityHiroshima
Period11/28/1612/1/16

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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