Image processing and behavior planning for robot-rat interaction

Qing Shi*, Hiroyuki Ishii, Shinichiro Konno, Shinichi Kinoshita, 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

In this paper, we proposed an automated video processing system to replace the traditional manual annotation, and to improve the adaptivity of the rat-like robot to autonomously interact with rats. The feature parameters of rats, such as body length, body area, circularity, body bend angle, locomotion speed, etc., are extracted based on image processing. These parameters are integrated as the input feature vector of Artificial Neural Network (ANN) and Support Vector Machine (SVM) classification methods respectively. Preliminary experiments reveal that the rearing, grooming and rotating actions could be recognized with extremely high rate (more than 90% by SVM and more than 80% by ANN). Furthermore, SVM needs less training computational cost than ANN. Therefore, SVM is superior to ANN for the behavior recognition of rats. By using the SVM-based recognition system, the behavior of the robot is generated adaptive to the rat behavior for different interactions.

本文言語English
ホスト出版物のタイトル2012 4th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2012
ページ967-973
ページ数7
DOI
出版ステータスPublished - 2012 10月 18
イベント2012 4th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2012 - Rome, Italy
継続期間: 2012 6月 242012 6月 27

出版物シリーズ

名前Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics
ISSN(印刷版)2155-1774

Conference

Conference2012 4th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2012
国/地域Italy
CityRome
Period12/6/2412/6/27

ASJC Scopus subject areas

  • 人工知能
  • 生体医工学
  • 機械工学

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