Dynamic Hybrid Learning for Improving Facial Expression Classifier Reliability

Dynamic Hybrid Learning for Improving Facial Expression Classifier Reliability

Independent, discrete models like Paul Ekman’s six basic emotions model are widely used in affective state assessment (ASA) and facial expression classification. However, the continuous and dynamic nature of human expressions often needs to be considered for accurately assessing facial expressio...

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Bibliographic Details
Main Authors: Vice, Jordan, Khan, Masood, Tan, Tele, Yanushkevich, Svetlana
Other Authors: Papadopoulos, George
Format: Conference Paper
Language:English
Published: ieee.org 2022
Subjects:
4601 - Applied computing
4602 - Artificial intelligence
4603 - Computer vision and multimedia computation
4611 - Machine learning
0915 - Interdisciplinary Engineering
Online Access:http://hdl.handle.net/20.500.11937/88713

Internet

http://hdl.handle.net/20.500.11937/88713

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