Deep learning model for detection of pain intensity from facial expression
Paper
Paper/Presentation Title | Deep learning model for detection of pain intensity from facial expression |
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Presentation Type | Paper |
Authors | Soar, Jeffrey (Author), Bargshady, Ghazal (Author), Zhou, Xujuan (Author) and Whittaker, Frank (Author) |
Editors | Mokhtari, Mounir, Abdulrazak, Bessam and Aloulou, Hamdi |
Journal or Proceedings Title | Smart Homes and Health Telematics: Designing a Better Future: Urban Assisted Living Proceedings (ICOST 2018) |
ERA Conference ID | 60495 |
Number of Pages | 6 |
Year | 2018 |
Place of Publication | Cham, Switzerland |
ISBN | 9783319945224 |
9783319945231 | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-319-94523-1_22 |
Web Address (URL) of Paper | https://link.springer.com/chapter/10.1007/978-3-319-94523-1_22 |
Web Address (URL) of Conference Proceedings | https://link.springer.com/book/10.1007/978-3-319-94523-1 |
Conference/Event | 16th International Conference on Smart Homes and Health Telematics: Designing a Better Future: Urban Assisted Living (ICOST 2018) |
International Conference on Smart Homes and Health Telematics (ICOST) | |
Event Details | 16th International Conference on Smart Homes and Health Telematics: Designing a Better Future: Urban Assisted Living (ICOST 2018) Event Date 10 to end of 12 Jul 2018 Event Location Singapore |
Event Details | International Conference on Smart Homes and Health Telematics (ICOST) ICOST |
Abstract | Many people who are suffering from a chronic pain face pe- riods of acute pain and resulting problems during their illness and ade- quate reporting of symptoms is necessary for treatment. Some patients have difficulties in adequately alerting caregivers to their pain or describ- ing the intensity which can impact on effective treatment. Pain and its intensity can be noticeable in ones face. Movements in facial muscles can depict ones current emotional state. Machine learning algorithms can detect pain intensity from facial expressions. The algorithm can ex- tract and classify facial expression of pain among patients. In this paper, we propose a new deep learning model for detection of pain intensity from facial expressions. This automatic pain detection system may help clinicians to detect pain and its intensity in patients and by doing this healthcare organizations may have access to more complete and more regular information of patients regarding their pain. |
Keywords | deep learning, pain, facial recognition |
ANZSRC Field of Research 2020 | 460999. Information systems not elsewhere classified |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | School of Management and Enterprise |
Nexus eCare, Australia | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q5367/deep-learning-model-for-detection-of-pain-intensity-from-facial-expression
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