Classifying sows' activity types from acceleration patterns - An application of the Multi-Process Kalman Filter
Classifying sows' activity types from acceleration patterns - An application of the Multi-Process Kalman Filter
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DOI：
10.1016/j.applanim.2007.06.021
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发表时间：
2008-06-01
影响因子：
2.3
通讯作者：
Lundbye-Christensen, Soren
中科院分区：
文献类型：
--
作者：
Cornou, Cecile;Lundbye-Christensen, Soren
一种使用加速度测量对母猪活动进行自动分类的方法将允许在整个繁殖周期内监测个体母猪的行为；可以预见用于检测发情和远行行为特征或监测疾病和福利的应用程序。本文提出了一种对群养母猪表现出的五种活动进行分类的方法。该方法涉及到三维加速度的测量。这五个活动是：喂食、行走、扎根、侧卧和胸卧。为每个活动选择四个加速度时间序列(三维轴加上加速度向量的长度)。每个时间序列使用带有循环分量的动态线性模型来建模。这种基于多过程卡尔曼滤波(MPKF)的分类方法被应用于总共15次序列的120个观测，每个活动涉及30分钟。结果表明，母猪的进食和侧卧/胸卧活动被识别得最好；行走和扎根活动大多是在进行活动时(水平、侧向和垂直)通过与母猪移动方向对应的特定轴来识别的。讨论了所建议方法的各种可能的改进。(C)2007 Elsevier B.V.保留所有权利。
An automated method of classifying sow activity using acceleration measurements would allow the individual sow's behavior to be monitored throughout the reproductive cycle; applications for detecting behaviors characteristic of estrus and far-rowing or to monitor illness and welfare can be foreseen. This article suggests a method of classifying five types of activity exhibited by group-housed sows. The method involves the measurement of acceleration in three dimensions. The five activities are: feeding, walking, rooting, lying laterally and lying sternally. Four time series of acceleration (the three-dimensional axes, plus the length of the acceleration vector) are selected for each activity. Each time series is modeled using a Dynamic Linear Model with cyclic components. The classification method, based on a Multi-Process Kalman Filter (MPKF), is applied to a total of 15 times series of 120 observations, which involves 30 min for each activity. The results show that feeding and lateral/sternal lying activities are best recognized; walking and rooting activities are mostly recognized by a specific axis corresponding to the direction of the sow's movement while performing the activity (horizontal sidewise and vertical). Various possible improvements of the suggested approach are discussed. (C) 2007 Elsevier B.V. All rights reserved.