Deep-learned faces of pain and emotions: Elucidating the differences of facial expressions with the help of explainable AI methods
| Document Type: | Article |
|---|---|
| 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 |
