Use of a gyroscope/accelerometer data logger to identify alternative feeding behaviours in fish
Use of a gyroscope/accelerometer data logger to identify alternative feeding behaviours in fish
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DOI：
10.1242/jeb.108001
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发表时间：
2014-09-01
影响因子：
2.8
通讯作者：
Soyano, Kiyoshi
中科院分区：
文献类型：
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作者：
Kawabata, Yuuki;Noda, Takuji;Soyano, Kiyoshi
本研究使用了一个包含三轴陀螺仪和三轴加速度计的数据记录仪，研究了是否可以识别营养多面手石斑鱼（Epinephelus ongus）对不同猎物类型（螃蟹和鱼类）的摄食行为。研究人员利用数据记录仪在200 Hz的频率下记录了6只乌鳢的摄食行为和其他突发行为，包括逃跑反应、种内相互作用和日常运动，并通过同时录制的视频图像进行了验证。对于每一个数据记录仪记录，当任何一个三轴加速度超过绝对2.0 g时，我们提取了5秒的数据，以捕捉所有的进食行为和其他突发行为。然后使用从提取的数据中得出的参数组合来确定每种摄食行为。利用带参数的决策树，对两种摄食行为的真实识别率都很高（87.5%），而错误识别率都很低（吃蟹5%，捕鱼6.3%）。
We examined whether we could identify the feeding behaviours of the trophic generalist fish Epinephelus ongus on different prey types (crabs and fish) using a data logger that incorporated a three-axis gyroscope and a three-axis accelerometer. Feeding behaviours and other burst behaviours, including escape responses, intraspecific interactions and routine movements, were recorded from six E. ongus individuals using data loggers sampling at 200 Hz, and were validated by simultaneously recorded video images. For each data-logger record, we extracted 5 s of data when any of the three-axis accelerations exceeded absolute 2.0 g, to capture all feeding behaviours and other burst behaviours. Each feeding behaviour was then identified using a combination of parameters that were derived from the extracted data. Using decision trees with the parameters, high true identification rates (87.5% for both feeding behaviours) with low false identification rates (5% for crab-eating and 6.3% for fisheating) were achieved for both feeding behaviours.