Towards modeling of interpersonal proximity using head-mounted camera for children with asd

Airi Tsuji, Satoru Sekine, Soichiro Matsuda, Junichi Yamamoto, Kenji Suzuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study suggests a novel method to clarify interpersonal proximity from the area occupied by a target person in the visual field. We use the size of the area as an index of interpersonal proximity to support therapeutic activities for the developmental support for children with ASD. We investigate the relationship between physical and interpersonal distance and its proximity as a sense of distance. Head-mounted camera and Mask-RCNN used as the measurement. The pilot experiment shows the possibility of measurement and experimentation in actual therapy showed a difference between interpersonal distance and interpersonal proximity.

Original languageEnglish
Title of host publicationComputers Helping People with Special Needs - 17th International Conference, ICCHP 2020, Proceedings
EditorsKlaus Miesenberger, Roberto Manduchi, Mario Covarrubias Rodriguez, Petr Penáz
PublisherSpringer Science and Business Media Deutschland GmbH
Pages104-111
Number of pages8
ISBN (Print)9783030588045
DOIs
Publication statusPublished - 2020
Event17th International Conference on Computers Helping People with Special Needs, ICCHP 2020 - Lecco, Italy
Duration: 2020 Sep 92020 Sep 11

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12377 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th International Conference on Computers Helping People with Special Needs, ICCHP 2020
CountryItaly
CityLecco
Period20/9/920/9/11

Keywords

  • Chidren with ASD
  • Head-mounted camera
  • Human recognition
  • Interpersonal proximity
  • Machine learning

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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