Quantifying the effects of temperature and noise on attention-level using EDA and EEG sensors

Zhengrui Xue, Luning Yang, Prapa Rattadilok, Shanshan Li, Longyue Gao

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)
3 Downloads (Pure)

Abstract

Most people with Autism Spectrum Disorder (ASD) experience atypical sensory modality and need help to self-regulate their sensory responses. Results of a pilot study are presented here where temperature, noise types and noise levels are used as independent variables. Attention-based tests (ABTs), Electrodermal Activity (EDA) and Electroencephalography (EEG) sensors are used as dependent variables to quantify the effects of temperature and noise. Based on the outcome of the analyses, it is feasible to use off-the-shelf sensors to recognize physiological changes, indicating a possibility to develop sensory management recommendation interventions to support people with ASD.

Original languageEnglish
Title of host publicationHealth Information Science - 8th International Conference, HIS 2019, Proceedings
EditorsHua Wang, Siuly Siuly, Yanchun Zhang, Rui Zhou, Fernando Martin-Sanchez, Zhisheng Huang
PublisherSpringer
Pages250-262
Number of pages13
ISBN (Print)9783030329617
DOIs
Publication statusPublished - 2019
Event8th International Conference on Health Information Science, HIS 2019 - Xi'an, China
Duration: 18 Oct 201920 Oct 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11837 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Health Information Science, HIS 2019
Country/TerritoryChina
CityXi'an
Period18/10/1920/10/19

Keywords

  • Autism Spectrum Disorder
  • Electrodermal Activity
  • Electroencephalography
  • Sensors
  • Sensory management

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)

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