Simulation-based validation of activity logger data for animal behavior studies
Simulation-based validation of activity logger data for animal behavior studies
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DOI：
10.1186/s40317-021-00254-y
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发表时间：
2021-09-13
影响因子：
2.7
通讯作者：
Fudickar, Adam
中科院分区：
文献类型：
--
作者：
Chen, Jiawei;Brown, Geoffrey;Fudickar, Adam
生物记录仪被广泛用于研究动物的运动和行为。然而，一些传感器提供比实际存储给定实验或生物记录器设计约束更多的数据。克服这种限制的一种方法是利用数据收集策略，例如非连续记录或数据汇总，这些策略可以更有效地记录数据，但需要验证正确性。在本文中，我们解决两个基本问题-研究人员如何确定合适的参数和行为的生物记录仪传感器，以及他们如何验证他们的选择？我们提出了一种方法，使用基于软件的模拟生物记录器，以验证各种数据收集策略，使用记录的数据和同步，注释的视频。模拟的使用允许快速和可重复的测试，这有助于验证数据收集方法以及为实验做准备的生物记录仪的配置。我们证明了这种方法使用加速度计记录器记录的小鸣禽Junco hyemalis hyemalis的活动。
Bio-loggers are widely used for studying the movement and behavior of animals. However, some sensors provide more data than is practical to store given experiment or bio-logger design constraints. One approach for overcoming this limitation is to utilize data collection strategies, such as non-continuous recording or data summarization that may record data more efficiently, but need to be validated for correctness. In this paper we address two fundamental questions-how can researchers determine suitable parameters and behaviors for bio-logger sensors, and how do they validate their choices? We present a methodology that uses software-based simulation of bio-loggers to validate various data collection strategies using recorded data and synchronized, annotated video. The use of simulation allows for fast and repeatable tests, which facilitates the validation of data collection methods as well as the configuration of bio-loggers in preparation for experiments. We demonstrate this methodology using accelerometer loggers for recording the activity of the small songbird Junco hyemalis hyemalis.