Matsumoto Jumpei, Kaneko Takaaki, Kimura Kei, Blanco Negrete Salvador, Guo Jia, Suda-Hashimoto Naoko, Kaneko Akihisa, Morimoto Mayumi, Nishimaru Hiroshi, Setogawa Tsuyoshi, Go Yasuhiro, Shibata Tomohiro, Nishijo Hisao, Takada Masahiko, Inoue Ken-Ichi
Department of System Emotional Science, Faculty of Medicine, University of Toyama, Toyama, Japan.
Research Center for Idling Brain Science, University of Toyama, Toyama, Japan.
Sci Adv. 2025 Jun 27;11(26):eadn1355. doi: 10.1126/sciadv.adn1355.
Given their high sociality and close evolutionary distance to humans, monkeys are an essential animal model for unraveling the biological mechanisms underlying human social behavior and elucidating the pathogenesis of diseases exhibiting abnormal social behavior. However, behavioral analysis of naturally behaving monkeys requires manual counting of various behaviors, which has been a bottleneck due to problems in throughput and objectivity. Here, we developed a three-dimensional markerless motion capture system that used multi-view data for robust tracking of individual monkeys and accurate reconstruction of the three-dimensional poses of multiple monkeys living in groups. Validation analysis in two monkey groups revealed that the system enabled the characterization of individual social dispositions and relationships through automated detection of eight basic social events. Analyses of social looking demonstrated its potential for investigating adaptive behaviors in a social group. These results suggest that this motion capture system will greatly enhance our ability to analyze primate social behavior.
鉴于猴子具有高度的社会性且与人类在进化上的距离较近，它们是揭示人类社会行为背后生物学机制以及阐明表现出异常社会行为疾病发病机制的重要动物模型。然而，对自然行为的猴子进行行为分析需要人工计数各种行为，由于通量和客观性方面的问题，这一直是个瓶颈。在此，我们开发了一种三维无标记运动捕捉系统，该系统使用多视图数据对单个猴子进行稳健跟踪，并准确重建群居猴子的三维姿态。在两个猴子群体中进行的验证分析表明，该系统能够通过自动检测八种基本社会事件来表征个体的社会倾向和关系。对社交注视的分析显示了其在研究社会群体中适应性行为方面的潜力。这些结果表明，这种运动捕捉系统将极大地增强我们分析灵长类动物社会行为的能力。
