[HTML][HTML] Multimodal Interaction, Interfaces, and Communication: A Survey

E Dritsas, M Trigka, C Troussas, P Mylonas - Multimodal Technologies …, 2025 - mdpi.com
Multimodal interaction is a transformative human-computer interaction (HCI) approach that
allows users to interact with systems through various communication channels such as …

[PDF][PDF] Multi-modality guidance network for missing modality inference

Z Zhao, H Palani, T Liu, L Evans… - arxiv preprint arxiv …, 2023 - researchgate.net
Multimodal models have gained significant success in recent years. Standard multimodal
approaches often assume unchanged modalities from training stage to inference stage. In …

Advancements in multimodal emotion recognition: integrating facial expressions and physiological signals

AD Vairamani - Affective computing for social good: enhancing well …, 2024 - Springer
Multimodal emotion recognition, which combines several modalities including facial
expressions, physiological signs, voice, and gestures to assess and comprehend human …

Exploring the Trade-Off within Visual Information for MultiModal Sentence Summarization

M Yuan, S Cui, X Zhang, S Wang, H Xu… - Proceedings of the 47th …, 2024 - dl.acm.org
MultiModal Sentence Summarization (MMSS) aims to generate a brief summary based on
the given source sentence and its associated image. Previous studies on MMSS have …

Emotion detection from text data using machine learning for human behavior analysis

M Garg, C Saxena - … Intelligence Methods for Sentiment Analysis in Natural …, 2024 - Elsevier
With a surge in analyzing the emotional traits of a person through their social activities, AI
models for natural language processing-centered emotion detection have attracted many …