Classification of cow’s behaviors based on 3-DoF accelerations from cow’s movements

Phung Cong Phi Khanh (University of Engineering and Technology)
Kieu Thi Nguyen (Nguyen Tat Thanh University)
Nguyen Dinh-Chinh (University of Engineering and Technology)
Tran Duc-Nghia (Vietnamese Academy of Science and Technology)
Hoang Quang Trung (University of Information and Communication Technology)
Nguyen Van Thang (Thuy Loi University)
Tran Duc-Tan (University of Engineering and Technology)

International Journal of Electrical and Computer Engineering
Vol 9, No 3: June 2019

Cow’s behavior classification helps people to monitor cow activities, thus the health and physiological periods of cows can be well tracked. To classify the behavior of cows, the data from the 3-axis acceleration sensor mounted on their neck is often used. Data acquisition and preprocessing of sensor data is required in this device. We acquire data from the 3-axis acceleration sensor mounted on the cows’neck and send to the microcontrollter. At the microcontroller, a proposed decision tree is applied in real-time manner to classify four important activities of the cows (standing, lying, feeding, and walking). Finally, the results can be sent to the server through the wireless transmission module. The test results confirm the reliability of the proposed device.