Pattern classification and recognition of movement behavior of medaka (Oryzias Latipes) using decision tree

  • Authors:

  • Sengtai Lee;Jeehoon Kim;Jae-Yeon Baek;Man-Wi Han;Tae-Soo Chon

  • Affiliations:

  • School of Electrical Engineering, Pusan National University, Busan, Korea;Korea Minjok Leadership Academy, Gangwon-do, Korea;Korea Minjok Leadership Academy, Gangwon-do, Korea;Korea Minjok Leadership Academy, Gangwon-do, Korea;Division of Biological Sciences, Pusan National University, Busan, Korea

  • Venue:
  • FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
  • Year:
  • 2005

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Abstract

Behavioral sequences of the medaka (Oryzias latipes) were continuously investigated through an automatic image recognition system in increasing temperature from 25°C to 35°C. The observation of behavior through the movement tracking program showed many patterns of the medaka. After much observation, behavioral patterns could be divided into basically 4 patterns: active- smooth, active-shaking, inactive-smooth, and inactive-shaking. The “smooth” and “shaking” patterns were shown as normal movement behavior, while the “smooth” pattern was more frequently observed in increasing temperature (35° C) than the “shaking” pattern. Each pattern was classified using a devised decision tree after the feature choice. It provides a natural way to incorporate prior knowledge from human experts in fish behavior and contains the information in a logical expression tree. The main focus of this study was to determine whether the decision tree could be useful in interpreting and classifying behavior patterns of the medaka.