Development of a real time cow gait tracking and analysing tool to assess lameness using a pressure sensitive walkway: The GAITWISE system
Development of a real time cow gait tracking and analysing tool to assess lameness using a pressure sensitive walkway: The GAITWISE system
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DOI：
10.1016/j.biosystemseng.2011.06.003
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发表时间：
2011-09-01
影响因子：
5.1
通讯作者：
Van Nuffel, Annelies
中科院分区：
文献类型：
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作者：
Maertens, Willem;Vangeyte, Jurgen;Van Nuffel, Annelies
牛的跛足造成了相当大的动物福利问题，并对农场经济产生了负面影响。步态评分技术和爪健康报告通常用于研究和调查，但很少有日常管理解决方案可以监测牛群中单个奶牛的步态参数。利用压力敏感通道、商业农场基础设施和管理工具，开发了一种自动化和处理时空运动学和力变量测量的工具。ILVO实验农场上的全自动装置通过注册20个基本运动学步态变量来测量和分析每头奶牛离开挤奶室的步态。基于该变量集，可以计算出一系列典型的步态参数，如三次支撑时间、外展等。本文介绍了该自动步态分析系统的一些实际结果和注意事项。对获得的变量的第一次验证表明，Gaitwise系统能够根据观察者评分对观察结果进行聚类，总体灵敏度为76-90%，特异性为86-100%。不对称和速度的变量似乎最有希望进一步研究跛足的检测。为了将来参考，得到的奶牛步态变量将被存储以进行时间序列分析，以检测奶牛个体行走行为与任何来源（爪损、妊娠期等）的变化。这些测量可以为管理、兽医检查和进一步研究牛的自动跛行检测提供有价值的信息。(C) 2011我同意。Elsevier Ltd.出版。版权所有。
Cattle lameness causes considerable animal welfare problems and negatively affects the farm economy. Gait scoring techniques and claw health reports are commonly used for research and surveys, but few daily management solutions exist to monitor gait parameters from individual cows within a herd. A tool to automate and process the measurement of spatiotemporal kinematic and force variables was developed using a pressure sensitive walkway, commercial farm infrastructure and management tools. A fully automatic setup on ILVO's experimental farm measures and analyses the gait of each cow that exits the milking parlour by registration of 20 basic kinematic gait variables. Based on this variable set, a wide range of typical gait parameters such as triple support time, abduction, etc. can be calculated. This paper presents some practical results and considerations related to this system of automated gait analysis. A first validation of the acquired variables shows that the Gaitwise system is capable of clustering observations in relation to the observer score with an overall sensitivity of 76-90% and specificity of 86-100%. Variables of asymmetry and speed seem most promising for further research on the detection of lameness.For future reference, the resulting cow gait variables will be stored for time series analysis to detect changes in individual cow walking behaviour in relation to any source (claw lesions, gestation stage, etc.). Such measurements could provide valuable information for management, veterinary check-ups and further research for automatic lameness detection in cattle. (C) 2011 IAgrE. Published by Elsevier Ltd. All rights reserved.