Classification of age groups using walking data obtained from a Laser Range Scanner

Shiori Sakai, Sumire Kimura, Daiki Nomiyama, Takamasa Ikeda, Nobuto Matsuhira, Yuka Kato

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

We have studied a dialog control method for interface robots by using location data of persons measured by a Laser Range Scanner as a human-robot interaction technology. In the method, we measured the distance between a sensor and a person with the sensor placed at human waist height as a time series data and estimated the position coordinates of the person at a time as a probability distribution. This paper extends the scheme and proposes a method estimating person attributes in addition to the location data by monitoring the movement of legs while the person is walking. As for person attributes, we focus on the age and classify persons as the elderly and the young. At that time, we construct a prediction model of age groups based on machine learning mechanisms. In this paper, we use seven feature values, these are the step length, the step width, the velocity of leg 1, the velocity of leg 2, the velocity of body, the acceleration of leg 1 and the acceleration of leg 2 for the model. By conducting experiments, we verify that classification accuracy improves particularly using acceleration and standard deviation of the data.

本文言語English
ホスト出版物のタイトルProceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society
出版社IEEE Computer Society
ページ5862-5867
ページ数6
ISBN(電子版)9781509034741
DOI
出版ステータスPublished - 2016 12 21
イベント42nd Conference of the Industrial Electronics Society, IECON 2016 - Florence, Italy
継続期間: 2016 10 242016 10 27

出版物シリーズ

名前IECON Proceedings (Industrial Electronics Conference)

Other

Other42nd Conference of the Industrial Electronics Society, IECON 2016
国/地域Italy
CityFlorence
Period16/10/2416/10/27

ASJC Scopus subject areas

  • 制御およびシステム工学
  • 電子工学および電気工学

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