Deep-learned faces of pain and emotions: Elucidating the differences of facial expressions with the help of explainable AI methods
Document Type: | Article |
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Language: | English |
Author: | Katharina Weitz, Teena Hassan, Ute Schmid, Jens-Uwe Garbas |
Parent Title (English): | tm (Technisches Messen) |
Volume: | 86 |
Issue: | 7-8 |
Number of pages: | 9 |
First Page: | 404 |
Last Page: | 412 |
ISSN: | 2196-7113 |
DOI: | https://doi.org/10.1515/teme-2019-0024 |
Publisher: | Walter de Gruyter |
Place of publication: | Berlin, Boston |
Date of first publication: | 2019/06/18 |
Copyright: | © 2019 Walter de Gruyter GmbH, Berlin/Boston |
Keyword: | Explainable artificial intelligence; deep learning; emotion recognition; pain recognition |
Dewey Decimal Classification (DDC): | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 006 Spezielle Computerverfahren |
Entry in this database: | 2023/04/13 |