Multimodal Input Modeling
Multimodal Input Modeling is a computational framework that integrates and represents data from multiple sensory modalities to capture the joint patterns and temporal dynamics of user input in multimodal interaction systems.
25
Publications
1.2K
Citations
94
Authors
45
Institutions
Publications per year
2017–2026
10
Parents
25
Andrea Serino, Elisa Canzoneri, Marilena Marzolla et al. · Frontiers in Behavioral Neuroscience · 2015 · 85 citations · Full text
Christopher Streiffer, Ramya Raghavendra, Theophilus Benson et al. · 2017 · 75 citations
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Radboud University Nijmegen
Nijmegen, The Netherlands
3 h-index
3 publications
49 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
2 h-index
5 publications
166 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
1 h-index
4 publications
140 citations
Texas A&M University
College Station, United States
1 h-index
1 publications
11 citations

Indian Institute of Technology Kanpur
Kanpur, India
1 h-index
2 publications
22 citations
Taif University
Ta'if, Saudi Arabia
1 h-index
1 publications
11 citations
IBM (United States)
Armonk, United States
1 h-index
4 publications
80 citations
Digital Video (Italy)
Rome, Italy
1 h-index
4 publications
140 citations
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1 publications · 27 citations
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1 publications · 59 citations
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Repository · 1 publications · 11 citations
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TVCG · 1 publications · 38 citations
1
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1 publications · 299 citations
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