Stress Detection of Children With ASD Using Physiological Signals

Sevgi Nur Bilgin Aktas; Pinar Uluer; Buket Coskun; Elif Toprak; Duygun Erol Barkana; Hatice Kose; Tatjana Zorcec; Ben Robins; Agnieszka Landowska

doi:10.1109/SIU55565.2022.9864668

Stress Detection of Children With ASD Using Physiological Signals

Tercüme edilen katkı başlığı: Fizyolojik Sinyaller Kullanilarak Otizmli Çocuklarda Stres Tanima

Sevgi Nur Bilgin Aktas
, Pinar Uluer
, Buket Coskun
, Elif Toprak
, Duygun Erol Barkana
, Hatice Kose
, Tatjana Zorcec
, Ben Robins
, Agnieszka Landowska

Yapay Zeka ve Veri Mühendisliği Bölümü

Istanbul Technical University
Galatasaray University
Yeditepe University
University Children's Hospital
University of Hertfordshire
Gdańsk University of Technology

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

8 Atıf (Scopus)

Özet

This paper proposes a physiological signal-based stress detection approach for children with autism spectrum disorder (ASD) to be used in social and assistive robot intervention. Electrodermal activity (EDA) and blood volume pulse (BVP) signals are collected with an E4 smart wristband from children with ASD in different countries. The peak count and signal amplitude features are derived from EDA signal and used in order to detect the stress of children based on the previously provided reference baselines. Furthermore, a comparison has been made with the stress values determined using low frequency (LF) and high frequency (HF) values extracted from BVP signal.

Tercüme edilen katkı başlığı	Fizyolojik Sinyaller Kullanilarak Otizmli Çocuklarda Stres Tanima
Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2022 30th Signal Processing and Communications Applications Conference, SIU 2022
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781665450928
DOI'lar	https://doi.org/10.1109/SIU55565.2022.9864668
Yayın durumu	Yayınlandı - 2022
Etkinlik	30th Signal Processing and Communications Applications Conference, SIU 2022 - Safranbolu, Türkiye Süre: 15 May 2022 → 18 May 2022

Yayın serisi

Adı	2022 30th Signal Processing and Communications Applications Conference, SIU 2022

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	30th Signal Processing and Communications Applications Conference, SIU 2022
Ülke/Bölge	Türkiye
Şehir	Safranbolu
Periyot	15/05/22 → 18/05/22

Bibliyografik not

Publisher Copyright:
© 2022 IEEE.

Finansman

This work was supported by the European Commission’s Erasmus+ Project (EMBOA, Affective loop in socially assistive robotics as an intervention tool for children with autism) under Contract 2019-1-PL01-KA203-065096. The European Commission’s support for the production of this publication does not constitute an endorsement of the contents, which reflect the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

Finansörler	Finansör numarası
European Commission	2019-1-PL01-KA203-065096

Belgeye Erişim

10.1109/SIU55565.2022.9864668

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Aktas, S. N. B., Uluer, P., Coskun, B., Toprak, E., Barkana, D. E., Kose, H., Zorcec, T., Robins, B., & Landowska, A. (2022). Stress Detection of Children With ASD Using Physiological Signals. In 2022 30th Signal Processing and Communications Applications Conference, SIU 2022 (2022 30th Signal Processing and Communications Applications Conference, SIU 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU55565.2022.9864668

@inproceedings{085ebbe2cd4443498f929471a3b56fb0,

title = "Stress Detection of Children With ASD Using Physiological Signals",

abstract = "This paper proposes a physiological signal-based stress detection approach for children with autism spectrum disorder (ASD) to be used in social and assistive robot intervention. Electrodermal activity (EDA) and blood volume pulse (BVP) signals are collected with an E4 smart wristband from children with ASD in different countries. The peak count and signal amplitude features are derived from EDA signal and used in order to detect the stress of children based on the previously provided reference baselines. Furthermore, a comparison has been made with the stress values determined using low frequency (LF) and high frequency (HF) values extracted from BVP signal.",

keywords = "autism, child-robot interaction, physiological signals, stress",

author = "Aktas, \{Sevgi Nur Bilgin\} and Pinar Uluer and Buket Coskun and Elif Toprak and Barkana, \{Duygun Erol\} and Hatice Kose and Tatjana Zorcec and Ben Robins and Agnieszka Landowska",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 30th Signal Processing and Communications Applications Conference, SIU 2022 ; Conference date: 15-05-2022 Through 18-05-2022",

year = "2022",

doi = "10.1109/SIU55565.2022.9864668",

language = "English",

series = "2022 30th Signal Processing and Communications Applications Conference, SIU 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2022 30th Signal Processing and Communications Applications Conference, SIU 2022",

address = "United States",

}

Aktas, SNB, Uluer, P, Coskun, B, Toprak, E, Barkana, DE, Kose, H, Zorcec, T, Robins, B & Landowska, A 2022, Stress Detection of Children With ASD Using Physiological Signals. in 2022 30th Signal Processing and Communications Applications Conference, SIU 2022. 2022 30th Signal Processing and Communications Applications Conference, SIU 2022, Institute of Electrical and Electronics Engineers Inc., 30th Signal Processing and Communications Applications Conference, SIU 2022, Safranbolu, Türkiye, 15/05/22. https://doi.org/10.1109/SIU55565.2022.9864668

Stress Detection of Children With ASD Using Physiological Signals. / Aktas, Sevgi Nur Bilgin; Uluer, Pinar; Coskun, Buket et al.
2022 30th Signal Processing and Communications Applications Conference, SIU 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 30th Signal Processing and Communications Applications Conference, SIU 2022).

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

TY - GEN

T1 - Stress Detection of Children With ASD Using Physiological Signals

AU - Aktas, Sevgi Nur Bilgin

AU - Uluer, Pinar

AU - Coskun, Buket

AU - Toprak, Elif

AU - Barkana, Duygun Erol

AU - Kose, Hatice

AU - Zorcec, Tatjana

AU - Robins, Ben

AU - Landowska, Agnieszka

PY - 2022

Y1 - 2022

N2 - This paper proposes a physiological signal-based stress detection approach for children with autism spectrum disorder (ASD) to be used in social and assistive robot intervention. Electrodermal activity (EDA) and blood volume pulse (BVP) signals are collected with an E4 smart wristband from children with ASD in different countries. The peak count and signal amplitude features are derived from EDA signal and used in order to detect the stress of children based on the previously provided reference baselines. Furthermore, a comparison has been made with the stress values determined using low frequency (LF) and high frequency (HF) values extracted from BVP signal.

AB - This paper proposes a physiological signal-based stress detection approach for children with autism spectrum disorder (ASD) to be used in social and assistive robot intervention. Electrodermal activity (EDA) and blood volume pulse (BVP) signals are collected with an E4 smart wristband from children with ASD in different countries. The peak count and signal amplitude features are derived from EDA signal and used in order to detect the stress of children based on the previously provided reference baselines. Furthermore, a comparison has been made with the stress values determined using low frequency (LF) and high frequency (HF) values extracted from BVP signal.

KW - autism

KW - child-robot interaction

KW - physiological signals

KW - stress

UR - https://www.scopus.com/pages/publications/85138702230

U2 - 10.1109/SIU55565.2022.9864668

DO - 10.1109/SIU55565.2022.9864668

M3 - Conference contribution

AN - SCOPUS:85138702230

T3 - 2022 30th Signal Processing and Communications Applications Conference, SIU 2022

BT - 2022 30th Signal Processing and Communications Applications Conference, SIU 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 30th Signal Processing and Communications Applications Conference, SIU 2022

Y2 - 15 May 2022 through 18 May 2022

ER -

Aktas SNB, Uluer P, Coskun B, Toprak E, Barkana DE, Kose H et al. Stress Detection of Children With ASD Using Physiological Signals. In 2022 30th Signal Processing and Communications Applications Conference, SIU 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 30th Signal Processing and Communications Applications Conference, SIU 2022). doi: 10.1109/SIU55565.2022.9864668

Stress Detection of Children With ASD Using Physiological Signals

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Finansman

Belgeye Erişim

Diğer Dosyalar ve Linkler

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