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

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Xue, Zhengrui, Yang, Luning, Rattadilok, Prapa, Li, Shanshan and Gao, Longyue (2019) Quantifying the effects of temperature and noise on attention-level using EDA and EEG sensors. In: Health Information Science. Lecture Notes in Computer Science book series, 11837 . Springer Nature, Switzerland, pp. 250-262. ISBN 9783030329617

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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.

Item Type: Book Section
Keywords: Autism Spectrum Disorder; Electrodermal Activity; Electroencephalography; Sensors; Sensory management
Schools/Departments: University of Nottingham Ningbo China > Faculty of Science and Engineering > School of Computer Science
University of Nottingham Ningbo China > Faculty of Science and Engineering > School of Mathematical Sciences
Identification Number: https://doi.org/10.1007/978-3-030-32962-4_23
Depositing User: Yu, Tiffany
Date Deposited: 09 Jan 2020 05:51
Last Modified: 09 Jan 2020 05:51
URI: https://eprints.nottingham.ac.uk/id/eprint/59614

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