DocumentCode :
2653391
Title :
Development of a cognition system for analyzing rat´s behaviors
Author :
Shi, Qing ; Miyagishima, Shunsyuke ; Fumino, Shogo ; Konno, Shinichiro ; Ishii, Hiroyuki ; Takanishi, Atsuo
Author_Institution :
Grad. Sch. of Sci. & Eng., Waseda Univ., Tokyo, Japan
fYear :
2010
fDate :
14-18 Dec. 2010
Firstpage :
1399
Lastpage :
1404
Abstract :
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.
Keywords :
cognition; feature extraction; image processing; mobile robots; neural nets; support vector machines; Neural Network; cognition system; contour finding; image processing algorithm; labeling; offline analysis; quantitative behavior analysis; rat behaviors; Artificial neural networks; Feature extraction; Rats; Robots; Support vector machines; Testing; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2010 IEEE International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-9319-7
Type :
conf
DOI :
10.1109/ROBIO.2010.5723534
Filename :
5723534
Link To Document :
بازگشت