RAFM-SER++: A Lightweight Multimodal Emotion Recognition Framework for Real-Time Behavioral Monitoring in Surveillance Systems

arXiv:2609.07409 · cs.AI, cs.LG, cs.MM, cs.SD · Submitted 2026-09-07 · Read on arXiv

cs.AI, cs.LG, cs.MM, cs.SD

Submitted: 2026-09-07

Updated: 2026-09-07

Comments: 6 pages, 4 figures, 3 tables. Accepted at the 2026 IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS 2026). (c) 2026 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 2× in this paper · explained in 1 episode
• Transformer — 2× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Multimodal Fusion — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Residual Attention Fusion Mechanism — 1× in this paper
• Speech Emotion Recognition — 1× in this paper

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