Modeling and quantitative measurement method of the tripartite interpersonal distance dynamics for children with ASD

Airi Tsuji, Takuya Enomoto, Soichiro Matsuda, Jyun'ichi Yamamoto, Kenji Suzuki

研究成果: Conference contribution

抄録

In this paper, We focused on the measurement method of the tripartite interpersonal distance in the social development supporting for children with autism spectrum disorder (ASD), and tried quantitatively measurements of interpersonal distance dynamics between three-person using motion capture. We report on the modeling and measurement about the tripartite interpersonal distance dynamics.

本文言語English
ホスト出版物のタイトルComputers Helping People with Special Needs - 16th International Conference, ICCHP 2018, Proceedings
出版社Springer Verlag
ページ523-526
ページ数4
ISBN(印刷版)9783319942766
DOI
出版ステータスPublished - 2018 1 1
イベント16th International Conference on Computers Helping People with Special Needs, ICCHP 2018 - Linz, Austria
継続期間: 2018 7 112018 7 13

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
10896 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other16th International Conference on Computers Helping People with Special Needs, ICCHP 2018
CountryAustria
CityLinz
Period18/7/1118/7/13

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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