Multi-model Centric Facial Expression Recognition Using Improved Coati Optimization-based Exponential Linear Gated Recurrent Unit with Layer Normalization
Keywords:
Exponential Linear Unit, Facial expressions, Improved Coati Optimization Algorithm, Physical exertion-based escape strategy, and Search and Encirclement strategyAbstract
Human facial expressions and emotions play vital role in day-to-day communication, and recognizing them is one of the significant tasks in Human-Computer Interfaces (HCI) field.Facial Expression Recognition (FER) utilizing images involves analyzing facial features to
recognize and interpret emotions accurately. However, lightning issues, posture changes, and occlusion significantly impact accurate recognition of facial expressions.
References
Sharafi, M., Yazdchi, M., Rasti, R. and Nasimi, F., 2022. A novel spatio-temporal convolutional neural framework for multimodal emotion recognition. Biomedical Signal Processing and Control, 78, p.103970.
Middya, A.I., Nag, B. and Roy, S., 2022. Deep learning based multimodal emotion recognition using model-level fusion of audio–visual modalities. Knowledge-Based Systems, 244, p.108580.
