Gait analyzer based on a cell phone with a single three-axis accelerometer

Toshiki Iso, Kenichi Yamazaki

研究成果: Conference contribution

81 被引用数 (Scopus)

抄録

We propose a fuss-free gait analyzer based on a single three-axis accelerometer mounted on a cell phone for health care and presence services. It is not necessary for users not to wear sensors on any part of their bodies; all they need to do is to carry the cell phone. Our algorithm has two main functions; one is to extract feature vectors by analyzing sensor data in detail using wavelet packet decomposition. The other is to flexibly cluster personal gaits by combining a self-organizing algorithm with Bayesian theory. Not only does the three-axis accelerometer realize low cost personal devices, but we can track aging or situation changes through on-line learning. A prototype that implements the algorithm is constructed. Experiments on the prototype show that the algorithm can identify gaits such as walking, running, going up/down stairs, and walking fast with an accuracy of about 80[%].

本文言語English
ホスト出版物のタイトルMobileHCI 2006 - 8th International Conference on Human-Computer Interaction with Mobile Devices and Services
ページ141-144
ページ数4
DOI
出版ステータスPublished - 2006 12 1
外部発表はい
イベント8th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2006 - Espoo, Finland
継続期間: 2006 9 122006 9 15

出版物シリーズ

名前ACM International Conference Proceeding Series
159

Conference

Conference8th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2006
国/地域Finland
CityEspoo
Period06/9/1206/9/15

ASJC Scopus subject areas

  • ソフトウェア
  • 人間とコンピュータの相互作用
  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ ネットワークおよび通信

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