Multimodal interaction: A review

By Matthew A. Turk. Pattern Recognition Letters, 2014

515 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Cognitive Neuroscience, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/a46b0f8b441e5df565334e9117671d318bed3eaf

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. T. Adalı
2. Christian Jutten
3. Shicheng Wan
4. Zefeng Chen
5. Jiayang Wu
6. Wensheng Gan
7. Philip S. Yu
8. Dana Lahat

In Cognitive Neuroscience

1. Christian Jutten
2. Dana Lahat
3. T. Adalı
4. Vince D. Calhoun
5. Yuhui Du
6. Godfrey D. Pearlson
7. Elena A. Allen

Citations in the corpus

• Multimodal Large Language Models: A Survey (2023, background): “Multimodal data, from a semantic perception standpoint, refers to the integration of information from various sensory modalities, such as visual, auditory, tactile, and olfactory inputs, to form a unified and meaningful representation of the environment [10].”
• Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects (2015, background): “, [21], [27], [58] (biomedical imaging) and [10], [11] (HMI).”