| Autor: |
Bianca Reichard, Fabian Schrumpf, Franz Anders, Kerstin Bode, Mirco Fuchs |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Current Directions in Biomedical Engineering. 8:423-426 |
| ISSN: |
2364-5504 |
| DOI: |
10.1515/cdbme-2022-1108 |
| Popis: |
Pain assessment in clinical settings can be a challenging task for clinic staff and patients. An automatic and contactless pain estimation system via facial expression is a decisive advantage. In the following article we present a method for pain classification based on mimic descriptors. To automatically process facial expressions from video data we applied the Facial Action Coding System (FACS). First, we employed a logistic regression model to predict pain using a publicly available database. Second, we utilized this procedure to predict pain in individual intraprocedural patient data. We reached a mean accuracy of 80.94% for the publicly available data and 73.14% for our individual patient data by classifying data as pain and non-pain. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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