Fusing deep learned and hand-crafted features of appearance, shape, and dynamics for automatic pain estimation
Automatic continuous time, continuous value assessment of a patient's pain from face video is highly sought after by the medical profession. Despite the recent advances in deep learning that attain impressive results in many domains, pain estimation risks not being able to benefit from this due...
| Main Authors: | Egede, Joy Onyekachukwu, Valstar, Michel F., Martinez, Brais |
|---|---|
| Format: | Conference or Workshop Item |
| Published: |
2017
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/40801/ |
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