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Quantifying the Effects of Temperature and Noise on Attention-Level Using EDA and EEG Sensors

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Health Information Science (HIS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11837))

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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.

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Author information

Authors and Affiliations

  1. School of Computer Science, University of Nottingham Ningbo China, Ningbo, China

    Zhengrui Xue, Prapa Rattadilok, Shanshan Li & Longyue Gao

  2. School of Mathematical Science, University of Nottingham Ningbo China, Ningbo, China

    Luning Yang

Authors
  1. Zhengrui Xue
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  2. Luning Yang
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  3. Prapa Rattadilok
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  4. Shanshan Li
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  5. Longyue Gao
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Corresponding author

Correspondence to Zhengrui Xue .

Editor information

Editors and Affiliations

  1. Victoria University, Footscray, VIC, Australia

    Hua Wang

  2. Victoria University, Footscray, VIC, Australia

    Siuly Siuly

  3. Swinburne University of Technology, Hawthorn, VIC, Australia

    Rui Zhou

  4. Instituto de Salud Carlos III, Madrid, Spain

    Fernando Martin-Sanchez

  5. Victoria University, Footscray, VIC, Australia

    Yanchun Zhang

  6. Vrije University, Amsterdam, The Netherlands

    Zhisheng Huang

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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: Wang, H., Siuly, S., Zhou, R., Martin-Sanchez, F., Zhang, Y., Huang, Z. (eds) Health Information Science. HIS 2019. Lecture Notes in Computer Science(), vol 11837. Springer, Cham. https://doi.org/10.1007/978-3-030-32962-4_23

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  • DOI: https://doi.org/10.1007/978-3-030-32962-4_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-32961-7

  • Online ISBN: 978-3-030-32962-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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