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研究基于六轴传感器的步数计数算法,用于放牧绵羊.

Chengxiang Jiang^1,2, Jingwei Qi³, Tianci Hu^1,2

¹College of Computer and Information Engineering, Xinjiang Agricultural University, Urumqi 830052, China.

Sensors (Basel, Switzerland)

|July 14, 2023

概括

一个新的算法通过分类像跑步和腿摇这样的行为,准确地计算放牧羊的步骤. 这种方法比传统的步数计数技术显著提高了准确性,将错误从17.5%降至6.2%.

关键词:

行为分类行为分类.放牧的羊在放牧的时间.步骤计数的计数步骤的计数窗口峰值检测检测窗口峰值检测窗口峰值检测

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科学领域:

动物科学动物科学
农业技术农业技术
生物工程是生物工程.

背景情况:

步数计数对于监测放牧羊活动水平至关重要.
现有的算法难以应对羊的不同步态和异常运动,导致步数不准确.
需要一个针对绵羊行为量身定制的强大的步数计数解决方案.

研究的目的:

开发和验证一种用于放牧羊的新型步数计数算法.
通过结合行为分类来处理各种羊的移动来提高准确性.
为了区分正常的行走,跑步和非步行行为,如腿部摇.

主要方法:

提出了一种基于行为分类的步骤计数算法,用于放牧羊.
利用区域峰值检测和峰值到谷区差异检测来识别跑步和腿部摇.
采用差异特征分析来区分腿部震动与快速行走.
基于已知的行为 (跑步,行走,摇腿) 实施了不同的步数计步策略.

主要成果:

与传统的峰值检测方法相比,拟议的算法显示了显著提高的准确性.
新算法的平均计算误差为6.244%,比峰值检测方法的17.556%误差大幅减少.
成功区分和管理的步骤计数用于各种绵羊行为,包括跑步和行走.

结论:

基于行为分类的算法为评估放牧羊活动提供了更准确,更可靠的方法.
这一进步解决了现有算法的局限性,为畜牧管理和福利提供了更好的数据.
改进的准确性突出了动物监测应用中特定行为算法的潜力.