Deep learning-based stress detection for daily life use using single-channel EEG and GSR in a virtual reality interview paradigm

• Hun-gyeom Kim ,

  Contributed equally to this work with: Hun-gyeom Kim, Solwoong Song

  Roles Methodology, Software, Visualization, Writing – original draft

  Affiliation Department of Biomedical Engineering, Hanyang University, Seoul, Korea

  https://orcid.org/0009-0005-3463-951X

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• Solwoong Song ,

  Contributed equally to this work with: Hun-gyeom Kim, Solwoong Song

  Roles Methodology, Software, Visualization, Writing – original draft

  Affiliation Department of Biomedical Engineering, Hanyang University, Seoul, Korea

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• Baek Hwan Cho ,

  Roles Project administration, Supervision, Writing – review & editing

  * E-mail: baekhwan.cho@cha.ac.kr (BHC); dongpjang@hanyang.ac.kr (DPJ)

  Affiliations Department of Biomedical Informatics, CHA University School of Medicine, CHA University, Seongnam, Korea, Institute of Biomedical Informatics, CHA University School of Medicine, CHA University, Seongnam, Korea

  https://orcid.org/0000-0001-7722-5660

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• Dong Pyo Jang

  Roles Project administration, Supervision, Writing – review & editing

  * E-mail: baekhwan.cho@cha.ac.kr (BHC); dongpjang@hanyang.ac.kr (DPJ)

  Affiliation Department of Biomedical Engineering, Hanyang University, Seoul, Korea

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