Development of a cognition system for analyzing rat's behaviors

Qing Shi*, Shunsyuke Miyagishima, Shogo Fumino, Shinichiro Konno, Hiroyuki Ishii, Atsuo Takanishi

*この研究の対応する著者

研究成果: Conference contribution

12 被引用数 (Scopus)

抄録

The interaction experiment, between a robot and a rat, will benefit significantly when the rat's actions can be recognized automatically in real time. Regarding quantitative behavior analysis, the number and duration of a rat's actions should be measured efficiently and accurately. Therefore, aiming at the above-mentioned objectives, a novel cognition system capable of detecting rats' actions has been proposed in this paper. The main function of this cognition system lies on the real-time recognition and offline analysis of rats' behaviors. Basic image processing algorithm as Labeling and Contour Finding were employed to extract feature parameters (body length, body area, body radius, rotational angle, and ellipticity) of rat's actions. These parameters are integrated as the input feature vector of NN (Neural Network) and SVM (Support Vector Machine) training system respectively. Preliminary experiments reveal that the grooming, rotating and rearing actions could be recognized with extremely high rate (more than 90%) by both NN and SVM. Compared to NN, SVM provides better recognition rate and less computational cost.

本文言語English
ホスト出版物のタイトル2010 IEEE International Conference on Robotics and Biomimetics, ROBIO 2010
ページ1399-1404
ページ数6
DOI
出版ステータスPublished - 2010 12月 1
イベント2010 IEEE International Conference on Robotics and Biomimetics, ROBIO 2010 - Tianjin, China
継続期間: 2010 12月 142010 12月 18

出版物シリーズ

名前2010 IEEE International Conference on Robotics and Biomimetics, ROBIO 2010

Conference

Conference2010 IEEE International Conference on Robotics and Biomimetics, ROBIO 2010
国/地域China
CityTianjin
Period10/12/1410/12/18

ASJC Scopus subject areas

  • 人工知能
  • バイオテクノロジー
  • 人間とコンピュータの相互作用

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