@inproceedings{6e55db04c43742e5860455d7ad5695be,
title = "Classification of Mental State from Sub-THz Reflections from the Skin",
abstract = "By applying machine learning techniques on sub-THz reflectance measurements from the palms of 21 subjects, this work presents preliminary evidence that the reflected electromagnetic (EM) signal is inherently different during stress and relaxation periods. Furthermore, the obtained results demonstrate that this difference can be determined from a 30second-long measurement with an accuracy of 92% for binary classification between relaxation and stress and an accuracy of 88% for multiclass classification between relaxation, mental stress, and physical stress.",
author = "Goldstein, {Anna Kochnev} and Yoav Goldstein and Ishai, {Paul Ben} and Yuri Feldman",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 47th International Conference on Infrared, Millimeter and Terahertz Waves, IRMMW-THz 2022 ; Conference date: 28-08-2022 Through 02-09-2022",
year = "2022",
doi = "https://doi.org/10.1109/irmmw-thz50927.2022.9895482",
language = "الإنجليزيّة",
series = "International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz",
publisher = "IEEE Computer Society",
booktitle = "IRMMW-THz 2022 - 47th International Conference on Infrared, Millimeter and Terahertz Waves",
address = "الولايات المتّحدة",
}