扬州大学学报（农业与生命科学版）2016，Vol.37Issue(4)：43-48,6.DOI:10.16872/j.cnki.1671-4652.2016.04.009
基于姿态角的生猪行为识别方法研究
Research on pig's behavior recognition based on attitude angle
摘要
Abstract
The existing way of pig's behavior recognition could not realize pig's activities monitor throughout the day,and some problems such as complex model,low accuracy and high-costs in recognition method remains unsolved.Therefore,we designed low cost and high accuracy pig's behavior recognition,which provided the basis on identifying the pig's health.Firstly,we designed wearable pig's gesture information monitoring module based on MEMS,which was worn on the neck of pig,collecting 6 000 experimental data of acceleration,angular and attitude angle with pig's standing,walking,side lying and lying.Then,Levenberg-Marquardt (LM) training method was used.Meanwhile,the effect of attitude angle on the training results was analyzed.Finally,different calibrations were used to validate the pig daily behaviors classification model.The result showed that the training results of the training results of the training method considering attitude angle information was superior to the training model,which was only considered the pig's behaviors information.The model can effectively avoid network into a local minimum value,considering attitude angle information as input of BPNN.The error rate was 0.001 844 and the determination coefficient between actual measured and calculated values was 0.991 and the behavior recognition accuracy was 92.64％.The result indicated that pig's daily behavior recognition based on attitude angle can provide a theoretical basis for analyzing pig's physical health.关键词
猪/行为识别/微惯性传感器/姿态角/行为分类模型/LM训练法Key words
pig/behavior recognition/MEMS/attitude angle/behaviors classification model/LM training method分类
农业科技引用本文复制引用
王传哲,王东,张海辉,张阳..基于姿态角的生猪行为识别方法研究[J].扬州大学学报（农业与生命科学版）,2016,37(4):43-48,6.基金项目
陕西省科学技术研究发展计划项目(2014K02-08-02) （2014K02-08-02）
杨凌示范区科技计划项目(2014GY-01) （2014GY-01）
