Fig 1.
Coordinate system of the leg-tag.
Fig 2.
Plan and section of the studied area in the barn.
(a) Plan. (b) Section.
Table 1.
Descriptions of the predefined behaviors.
Table 2.
Composition of behavior observations.
Fig 3.
Grid plot of the area of the barn under study.
Table 3.
Basic probability assignment functions based on interval division.
Fig 4.
Flowchart of the ensemble classification method proposed in the study.
Table 4.
Confusion matrix achieved from the classification of dairy cow behaviors by the Multi-BP-AdaBoost algorithm (the number of correctly classified samples is expressed in boldface).
Table 5.
Summary statistics (mean±S.D.) of the performance indicators of the Multi-BP-AdaBoost algorithm for all behavior categories.
Table 6.
Location performance of the algorithm based on RSSI similarity degree with each location sensor.
Table 7.
Re-classification results for all the data samples that have been predicted as feeding or standing using D-S evidence theory (The number of correctly classified samples is denoted in boldface).
Table 8.
Summary statistics (mean±S.D.) of the performance indicators of the data fusion method for feeding and standing.