論文

査読有り
2014年10月

Pedestrian identification by associating wearable and environmental sensors based on phase dependent correlation of human walking

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
  • Tetsushi Ikeda
  • ,
  • Hiroshi Ishiguro
  • ,
  • Takahiro Miyashita
  • ,
  • Norihiro Hagita

5
5
開始ページ
645
終了ページ
654
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1007/s12652-013-0191-x
出版者・発行元
SPRINGER HEIDELBERG

Providing personal and location-dependent services is one of the promising services in public spaces like a shopping mall. So far, sensors in the environment have reliably detected the current positions of humans, but it is difficult to identify people using these sensors. On the other hand, wearable devices can send their personal identity information, but precise position estimation remains problematic. In this paper, we propose a method of associating wearable accelerometers and foot tracking results using laser range finders in the environment. First we propose an association method based on signal correlation between biped foot and accelerometer. However, in crowded situations, sometimes only one foot of a pedestrian is observed because of occlusion. To cope with the problem, we propose a new evaluation function that focuses on the phase dependent correlation of cyclic walking behavior. Example results of tracking individuals in the environment confirm the effectiveness of this method.

Web of Science ® 被引用回数 : 2

リンク情報
DOI
https://doi.org/10.1007/s12652-013-0191-x
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000351241600004&DestApp=WOS_CPL
URL
http://dblp.uni-trier.de/db/journals/jaihc/jaihc5.html#journals/jaihc/IkedaIMH14