Subject-independent Pain Recognition using Physiological Signals and Para-linguistic Vocalizations

Erstveröffentlichung
2020
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Authors
Shoukry, Nadeen
Elkilany, Omar
Thiam, Patrick
Kessler, Viktor
Schwenker, Friedhelm
Faculties
Fakultät für Ingenieurwissenschaften, Informatik und Psychologie
Institutions
Institut für Neuroinformatik
Published in
ICPRAM 2020: proceedings of the 9th International Conference on Pattern Recognition Applications and Methods / De Marsico, Maria ; Sanniti di Baja, Gabriella ; Fred, Ana (Hrsg.). - Setúbal : SCITEPRESS - Science and Technology Publications, Lda., 2020. - S. 142-150. - ISBN 978-989-758-397-1
Link to publication
https://dx.doi.org/10.5220/0008912201420150
Conference
9th International Conference on Pattern Recognition Applications and Methods (ICPRAM), 2020-02-22 - 2020-02-24, Valletta
Keywords
Machine Learning; Pain Recognition; Affective Computing; Biopotential Signals; Para-linguistic Data; NEURAL-NETWORKS; CLASSIFICATION
Dewey Decimal Group
DDC 000 / Computer science, information & general works
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