Abstract:Abstract: The analysis of animal behavior is an important technique to study the functions of the central nervous system. The behavior pattern which indicates an animal’s psychological and physical state has been extensively investigated in laboratory animal science. Vast amounts of behavior data have been produced be-cause of the development of behavioral collection method, and it is no doubt that machine learning makes data analysis more efficient. Supervised learning is usually used for behavior recognition and classification. Unsupervised learning explores behavior structure, and allows for the discovery of novel behaviors and recognition of unusual forms of movements that are not noticeable to human eyes. Herein, the application of machine learning in animal behavior analysis is illustrated, which may provide reference for future research.
引用本文:
何 泉, 吴 磊, 柳 珑. 机器学习在动物行为分析中的应用研究进展[J]. 生命科学研究, 2022, 26(5): 433-440.
HE Quan, WU Lei, LIU Long. Research Progress in Application of Machine Learning in Animal Behavior Analysis. Life Science Research, 2022, 26(5): 433-440.