@misc{oai:repo.qst.go.jp:00078219,
 author = {三村, 喬生 and 中村, 友昭 and 松本, 惇平 and 西条, 寿夫 and 須原, 哲也 and 持橋, 大地 and 南本, 敬史 and Mimura, Koki and Suhara, Tetsuya and Minamimoto, Takafumi},
 month = {Jun},
 note = {Understanding the nature of nonverbal communication (eye contacts, face expressions, body postures, hand gestures, body motions, etc...) is one of the core issue in behavioral neuroscience. In this study, we demonstrated the data-driven dynamical segmentation of the body expressions in free moving small non-human primate, common marmoset. We developed a new marker-less 3D motion tracking system optimized to marmoset. Then, we proposed unsupervised segmentation using a Gaussian process-hidden semi-Markov model (GP-HSMM). As a result, we succeeded to classify three types of marmoset feeding behavior (high position feeding, low position feeding, and low position feeding with hands) only based on body parts positions, face direction, and body angle information. This result suggested that proposing system could represent high versatility to quantify the animal nonverbal body expressions without qualitative teacher labels., 2019年度人工知能学会全国大会},
 title = {霊長類における身体動作時系列の分節構造推定},
 year = {2019}
}