A Hyper-Attentive Multimodal Transformer for Real-Time and Robust Facial Expression Recognition

A Hyper-Attentive Multimodal Transformer for Real-Time and Robust Facial Expression Recognition

Facial expression recognition (FER) plays a critical role in affective computing, enabling machines to interpret human emotions through facial cues. While recent deep learning models have achieved progress, many still fail under real-world conditions such as occlusion, lighting variation, and subtle...

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Bibliographic Details
Main Authors: Zarnigor Tagmatova, Sabina Umirzakova, Alpamis Kutlimuratov, Akmalbek Abdusalomov, Young Im Cho
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
facial expression recognition
multimodal transformer
temporal modeling
cross-attention
real-time emotion recognition
human–computer interaction
Online Access:https://www.mdpi.com/2076-3417/15/13/7100
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