WEKO3
アイテム
Social Context Segmentation Analysis in a Primate Model of Autism Spectrum Disorder
https://repo.qst.go.jp/records/73136
https://repo.qst.go.jp/records/73136152ebf21-4793-4098-b437-53eace8a7a09
Item type | 会議発表用資料 / Presentation(1) | |||||
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公開日 | 2019-01-08 | |||||
タイトル | ||||||
タイトル | Social Context Segmentation Analysis in a Primate Model of Autism Spectrum Disorder | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_c94f | |||||
資源タイプ | conference object | |||||
アクセス権 | ||||||
アクセス権 | metadata only access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
著者 |
三村, 喬生
× 三村, 喬生× 南本, 敬史× 松本, 惇平× 持橋, 大地× 島谷, 健一郎× 三村 喬生× 南本 敬史 |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Social interaction is a dynamic process in which multiple autonomous agents communicate each other via exchanges their internal state such as emotions and intentions. Based on recent advance in computational technology, without simplified hypothesis verification and condition control, it has become possible to approach the interactive dynamics itself. \n There are major progresses in the natural language analysis, such as extraction of morphemes, and constructive reproduction of free conversation. However, the computational understanding of nonverbal communication has not been revealed, but that is possibly a universal framework leading to humans and other social animals. \n In this research, we will conduct research on the following points: 1. Development of free moving body motion capture system We will develop marker less motion capture system based on dynamic estimation of skeleton model by using spatial scanning with depth camera, and obtain the detail time sequence of body part trajectory and angles. 2. Context segmentation analysis of behavioral sequence Applying unsupervised morphological analysis, we will extract meaningful segment units and their transitions from the behavior time series data. \n As a verification system, this measurement / analysis method is implemented in a model animal which is controlled local neural circuit activity. By computational describing the influence of neural dysfunction on social nonverbal communication in the model, we aim to contribute for understanding and support of neurodevelopmental disorders with social disability like autism spectrum disorders. |
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会議概要(会議名, 開催地, 会期, 主催者等) | ||||||
内容記述タイプ | Other | |||||
内容記述 | 新学術領域研究「人工知能と脳科学」第5回領域会議 | |||||
発表年月日 | ||||||
日付 | 2018-11-12 | |||||
日付タイプ | Issued |