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Use of a gyroscope/accelerometer data logger to identify alternative feeding behaviours in fish

机译:使用陀螺仪/加速度计数据记录器来识别鱼类的替代摄食行为

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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
机译:我们使用集成了三轴陀螺仪和三轴加速度计的数据记录仪检查了我们是否可以识别营养丰富的通体鱼类大螯虾(Epinephelus ongus)在不同猎物(蟹和鱼)上的摄食行为。使用数据记录仪以200 Hz的采样频率从6个大肠埃希菌个体中记录了进食行为和其他突发行为,包括逃避反应,种内相互作用和例行运动,并通过同时记录的视频图像进行了验证。对于每个数据记录器记录,当三轴加速度中的任何一个超过绝对2.0 g时,我们提取5 s的数据,以捕获所有进给行为和其他突发行为。然后使用从提取的数据中导出的参数组合来识别每种进食行为。使用带有参数的决策树,两种喂养行为的真实识别率高(两种喂养行为为87.5%),错误识别率较低(螃蟹为5%,钓鱼为6.3%)

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