AIIC AI Intelligence Centre

SOURCE-LINKED INTELLIGENCE

A Comprehensive Review of Multimodal Facial State Analysis: Tasks, Methods, and Resources

arXiv · AI, language, vision and robotics · article · Sep 6, 2026 · UTC

Facial state analysis plays a crucial role in understanding human expressions, psychological modeling, and human computer interaction. Traditional unimodal vision-based methods are often limited by environmental sensitivity and weak interpretability. Multimodal facial state analysis addresses these issues by integrating complementary cues from visual, audio, textual, physiological, and other related modalities. This survey emphasizes two key aspects: on one hand, multimodal learning enables contextual semantic understanding for improved facial state reasoning and leverages interpretable langua

Read original source ↗ Open in workspace

recordType
paper
region
Global

Evidence & attribution

First collected: 2026-09-20T21:12:06.801Z. This is not the publication date.