Classification and Recognition of Goat Movement Behavior Based on SL-WOA-XGBoost

• DOI: 10.3390/electronics12163506
• Publication Date: 2023-08-18T13:13:44Z
• Authors: Tingxia Li; Tiankai Li; Rina Su; Jile Xin; Ding Han
• Keywords: Social Recognition

Aiming at the problem of time-consuming, labor-intensive, and low-accuracy monitoring goat motion behavior (lying, standing, walking, running) while relying on three-axis acceleration sensor taking data obtained from back collection point as research object, a method based social learning (SL) is proposed using Whale Optimization Algorithm (WOA) XGBoost for recognition. In this method, parameters are optimized by WOA combined with strategies to improve classification recognition accuracy. The results show that rate lying was high 97.14%, average four movement behaviors 94.42%, meeting requirements Compared conventional algorithm, increased 3.41% accuracy improved. study can provide reference health assessment intelligent disease warning.