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

doi:10.1007/978-3-030-32962-4_23

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

School of Computer Science

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

45 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 language	English
Title of host publication	Health Information Science - 8th International Conference, HIS 2019, Proceedings
Editors	Hua Wang, Siuly Siuly, Yanchun Zhang, Rui Zhou, Fernando Martin-Sanchez, Zhisheng Huang
Publisher	Springer
Pages	250-262
Number of pages	13
ISBN (Print)	9783030329617
DOIs	https://doi.org/10.1007/978-3-030-32962-4_23
Publication status	Published - 2019
Event	8th International Conference on Health Information Science, HIS 2019 - Xi'an, China Duration: 18 Oct 2019 → 20 Oct 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11837 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	8th International Conference on Health Information Science, HIS 2019
Country/Territory	China
City	Xi'an
Period	18/10/19 → 20/10/19

Keywords

Autism Spectrum Disorder
Electrodermal Activity
Electroencephalography
Sensors
Sensory management

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-030-32962-4_23

204 QuantifyingAccepted author manuscript, 2.16 MBLicence: CC BY

Cite this

Xue, Z., Yang, L., Rattadilok, P., Li, S., & Gao, L. (2019). Quantifying the effects of temperature and noise on attention-level using EDA and EEG sensors. In H. Wang, S. Siuly, Y. Zhang, R. Zhou, F. Martin-Sanchez, & Z. Huang (Eds.), Health Information Science - 8th International Conference, HIS 2019, Proceedings (pp. 250-262). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11837 LNCS). Springer. https://doi.org/10.1007/978-3-030-32962-4_23

Xue, Zhengrui ; Yang, Luning ; Rattadilok, Prapa et al. / Quantifying the effects of temperature and noise on attention-level using EDA and EEG sensors. Health Information Science - 8th International Conference, HIS 2019, Proceedings. editor / Hua Wang ; Siuly Siuly ; Yanchun Zhang ; Rui Zhou ; Fernando Martin-Sanchez ; Zhisheng Huang. Springer, 2019. pp. 250-262 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Quantifying the effects of temperature and noise on attention-level using EDA and EEG sensors",

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.",

keywords = "Autism Spectrum Disorder, Electrodermal Activity, Electroencephalography, Sensors, Sensory management",

author = "Zhengrui Xue and Luning Yang and Prapa Rattadilok and Shanshan Li and Longyue Gao",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.; 8th International Conference on Health Information Science, HIS 2019 ; Conference date: 18-10-2019 Through 20-10-2019",

year = "2019",

doi = "10.1007/978-3-030-32962-4_23",

language = "English",

isbn = "9783030329617",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Xue, Z, Yang, L, Rattadilok, P, Li, S & Gao, L 2019, Quantifying the effects of temperature and noise on attention-level using EDA and EEG sensors. in H Wang, S Siuly, Y Zhang, R Zhou, F Martin-Sanchez & Z Huang (eds), Health Information Science - 8th International Conference, HIS 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11837 LNCS, Springer, pp. 250-262, 8th International Conference on Health Information Science, HIS 2019, Xi'an, China, 18/10/19. https://doi.org/10.1007/978-3-030-32962-4_23

Quantifying the effects of temperature and noise on attention-level using EDA and EEG sensors. / Xue, Zhengrui; Yang, Luning; Rattadilok, Prapa et al.
Health Information Science - 8th International Conference, HIS 2019, Proceedings. ed. / Hua Wang; Siuly Siuly; Yanchun Zhang; Rui Zhou; Fernando Martin-Sanchez; Zhisheng Huang. Springer, 2019. p. 250-262 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11837 LNCS).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Quantifying the effects of temperature and noise on attention-level using EDA and EEG sensors

AU - Xue, Zhengrui

AU - Yang, Luning

AU - Rattadilok, Prapa

AU - Li, Shanshan

AU - Gao, Longyue

PY - 2019

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N2 - 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.

AB - 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.

KW - Autism Spectrum Disorder

KW - Electrodermal Activity

KW - Electroencephalography

KW - Sensors

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DO - 10.1007/978-3-030-32962-4_23

M3 - Conference contribution

AN - SCOPUS:85075644175

SN - 9783030329617

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 250

EP - 262

BT - Health Information Science - 8th International Conference, HIS 2019, Proceedings

A2 - Wang, Hua

A2 - Siuly, Siuly

A2 - Zhang, Yanchun

A2 - Zhou, Rui

A2 - Martin-Sanchez, Fernando

A2 - Huang, Zhisheng

PB - Springer

T2 - 8th International Conference on Health Information Science, HIS 2019

Y2 - 18 October 2019 through 20 October 2019

ER -

Xue Z, Yang L, Rattadilok P, Li S, Gao L. Quantifying the effects of temperature and noise on attention-level using EDA and EEG sensors. In Wang H, Siuly S, Zhang Y, Zhou R, Martin-Sanchez F, Huang Z, editors, Health Information Science - 8th International Conference, HIS 2019, Proceedings. Springer. 2019. p. 250-262. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-32962-4_23

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

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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