This paper discusses multimodal systems. We have defined a taxonomy of multimodal interactions and built two example multimodal systems.

ArticlePDF Available. Multimodal Systems: Aspects of Events Fusion and a Taxonomy. June 1994. June 1994. Authors: Arno P. J. Gourdol · Arno ...

This paper discusses multimodal systems. We have defined a taxonomy of mul- timodal interactions and built two example multimodal systems.

Aug 28, 2021 · Abstract: The present work collects a plethora of previous research work in the field of multimodal fusion which despite a lot of research ...

We propose a taxonomy with five major stages used for building multimodal classification models: Preprocessing, Feature Extraction, Data Fusion, Primary ...

4) Fusion A fourth challenge is to join information from two or more modalities to perform a prediction. For example, for audio-visual speech recognition, the ...

Multimodal medical data fusion involves combining information from multiple modalities such as medical imaging, genomic data, EHRs, wearable devices, and more.

Finally, we discuss some up-and-coming approaches to multi-modal fusion including deep learning and multimodal classification which show considerable promise.

We review the current state-of-the-art of such methods and propose a detailed taxonomy that facilitates more informed choices of fusion strategies for ...

Feb 18, 2020 · AI Multi-Modal fusion has significant potential for the mixture of other data modalities as well. For example, the fusion of video and sound.