ApEn: A Stress-Aware Pen for Children with Autism Spectrum Disorder.

Jing Li; Emilia I. Barakova; Jun Hu; Wouter Staal; Martine van Dongen-Boomsma

doi:10.1007/978-3-031-06242-1_28

ApEn: A Stress-Aware Pen for Children with Autism Spectrum Disorder.

Jing Li, Emilia I. Barakova, Jun Hu, Wouter Staal, Martine van Dongen-Boomsma

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

Abstract

Children with Autism Spectrum disorder (ASD) often experience high levels of anxiety and stress. Many children with ASD have difficulty in being aware of their stress and communicating distress to family and caregivers. Stress detection and regulation are vital for their mental well-being. This paper presents a stress-aware pen (ApEn) that detects real-time stress-related behaviors and interacts with users with vibrotactile and light as a feedback indication of interpreted stress levels. ApEn is a context-aware tool for collecting behavioral data related to the expression of stress and can increase users’ stress awareness. A pilot test was conducted with typical developed children to investigate how to detect stress in their daily environment. The pilot test results indicate that ApEn is a promising tool for detecting stress-related behaviors and can attend the user about the detected stress through designed sensory feedback.

Original language	English
Title of host publication	Artificial Intelligence in Neuroscience
Subtitle of host publication	Affective Analysis and Health Applications - 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Proceedings
Editors	José Manuel Ferrández Vicente, José Ramón Álvarez-Sánchez, Félix de la Paz López, Hojjat Adeli
Pages	281-290
Number of pages	10
DOIs	https://doi.org/10.1007/978-3-031-06242-1_28
Publication status	Published - 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13258 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Bibliographical note

DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

Keywords

Children with ASD
Smart everyday objects
Stress detection

Access to Document

10.1007/978-3-031-06242-1_28

https://dblp.org/db/conf/iwinac/iwinac2022-1.html#LiBHSD22

Cite this

Li, J., Barakova, E. I., Hu, J., Staal, W., & Dongen-Boomsma, M. V. (2022). ApEn: A Stress-Aware Pen for Children with Autism Spectrum Disorder. In J. M. Ferrández Vicente, J. R. Álvarez-Sánchez, F. de la Paz López, & H. Adeli (Eds.), Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications - 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Proceedings (pp. 281-290). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13258 LNCS). https://doi.org/10.1007/978-3-031-06242-1_28

Li, Jing ; Barakova, Emilia I. ; Hu, Jun et al. / ApEn: A Stress-Aware Pen for Children with Autism Spectrum Disorder. Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications - 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Proceedings. editor / José Manuel Ferrández Vicente ; José Ramón Álvarez-Sánchez ; Félix de la Paz López ; Hojjat Adeli. 2022. pp. 281-290 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "ApEn: A Stress-Aware Pen for Children with Autism Spectrum Disorder.",

abstract = "Children with Autism Spectrum disorder (ASD) often experience high levels of anxiety and stress. Many children with ASD have difficulty in being aware of their stress and communicating distress to family and caregivers. Stress detection and regulation are vital for their mental well-being. This paper presents a stress-aware pen (ApEn) that detects real-time stress-related behaviors and interacts with users with vibrotactile and light as a feedback indication of interpreted stress levels. ApEn is a context-aware tool for collecting behavioral data related to the expression of stress and can increase users{\textquoteright} stress awareness. A pilot test was conducted with typical developed children to investigate how to detect stress in their daily environment. The pilot test results indicate that ApEn is a promising tool for detecting stress-related behaviors and can attend the user about the detected stress through designed sensory feedback.",

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Li, J, Barakova, EI , Hu, J, Staal, W & Dongen-Boomsma, MV 2022, ApEn: A Stress-Aware Pen for Children with Autism Spectrum Disorder. in JM Ferrández Vicente, JR Álvarez-Sánchez, F de la Paz López & H Adeli (eds), Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications - 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13258 LNCS, pp. 281-290. https://doi.org/10.1007/978-3-031-06242-1_28

ApEn: A Stress-Aware Pen for Children with Autism Spectrum Disorder. / Li, Jing; Barakova, Emilia I.; Hu, Jun et al.
Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications - 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Proceedings. ed. / José Manuel Ferrández Vicente; José Ramón Álvarez-Sánchez; Félix de la Paz López; Hojjat Adeli. 2022. p. 281-290 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13258 LNCS).

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

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AU - Dongen-Boomsma, Martine van

N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

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N2 - Children with Autism Spectrum disorder (ASD) often experience high levels of anxiety and stress. Many children with ASD have difficulty in being aware of their stress and communicating distress to family and caregivers. Stress detection and regulation are vital for their mental well-being. This paper presents a stress-aware pen (ApEn) that detects real-time stress-related behaviors and interacts with users with vibrotactile and light as a feedback indication of interpreted stress levels. ApEn is a context-aware tool for collecting behavioral data related to the expression of stress and can increase users’ stress awareness. A pilot test was conducted with typical developed children to investigate how to detect stress in their daily environment. The pilot test results indicate that ApEn is a promising tool for detecting stress-related behaviors and can attend the user about the detected stress through designed sensory feedback.

AB - Children with Autism Spectrum disorder (ASD) often experience high levels of anxiety and stress. Many children with ASD have difficulty in being aware of their stress and communicating distress to family and caregivers. Stress detection and regulation are vital for their mental well-being. This paper presents a stress-aware pen (ApEn) that detects real-time stress-related behaviors and interacts with users with vibrotactile and light as a feedback indication of interpreted stress levels. ApEn is a context-aware tool for collecting behavioral data related to the expression of stress and can increase users’ stress awareness. A pilot test was conducted with typical developed children to investigate how to detect stress in their daily environment. The pilot test results indicate that ApEn is a promising tool for detecting stress-related behaviors and can attend the user about the detected stress through designed sensory feedback.

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SN - 9783031062414

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

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BT - Artificial Intelligence in Neuroscience

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Li J, Barakova EI , Hu J, Staal W, Dongen-Boomsma MV. ApEn: A Stress-Aware Pen for Children with Autism Spectrum Disorder. In Ferrández Vicente JM, Álvarez-Sánchez JR, de la Paz López F, Adeli H, editors, Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications - 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Proceedings. 2022. p. 281-290. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-06242-1_28

ApEn: A Stress-Aware Pen for Children with Autism Spectrum Disorder.

Abstract

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Keywords

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