Automatic Recognition of a Weakly Identified Animal Activity State Based on Data Transformation of 3D Acceleration Sensor
Sprache des Titels:
Distributed Computer and Communication Networks
Smartbow ear-attached motion
active sensor with a 3d accelerometer is used for animal activity tracking.
Such technology is required to understand the welfare, nutrition scheme and management
strategies for breeding cattle. The ear-tag with integrated sensor has no
fixed location and orientation that leads to necessity to use the orientation
independent features by solving a time series classification problem.
In this paper we propose an accelerometer data transformation techniques
based on Euler angle rotation and signal projection and show
their equivalence relative to a reference coordinate system. The main
aim is to increase a recognition accuracy for the weakly-identified states
or actions. The previous research for the fitting of the calves has demonstrated
certain difficulties by recognition of some rare states and actions,
e.g. milk intake. The results show that an average area under the ROC-
curve of 0.740 is achieved with improvement of 0.252 over classifications
without data transformation.
Sprache der Kurzfassung:
Communications in Computer and Information Science