The Catchment Feature Model: A Device for Multimodal Fusion and a Bridge between Signal and Sense

<p/> <p>The catchment feature model addresses two questions in the field of multimodal interaction: how we bridge video and audio processing with the realities of human multimodal communication, and how information from the different modes may be fused. We argue from a detailed literatur...

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Main Author: Quek Francis
Format: Article
Language:English
Published: SpringerOpen 2004-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Online Access:http://dx.doi.org/10.1155/S1110865704405101
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author Quek Francis
author_facet Quek Francis
author_sort Quek Francis
collection DOAJ
description <p/> <p>The catchment feature model addresses two questions in the field of multimodal interaction: how we bridge video and audio processing with the realities of human multimodal communication, and how information from the different modes may be fused. We argue from a detailed literature review that gestural research has clustered around manipulative and semaphoric use of the hands, motivate the catchment feature model psycholinguistic research, and present the model. In contrast to &#147;whole gesture&#148; recognition, the catchment feature model applies a feature decomposition approach that facilitates cross-modal fusion at the level of discourse planning and conceptualization. We present our experimental framework for catchment feature-based research, cite three concrete examples of catchment features, and propose new directions of multimodal research based on the model.</p>
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spelling doaj.art-c4416201baaa42dd9f2a9c3f76fd51202022-12-22T02:20:34ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802004-01-01200411769219The Catchment Feature Model: A Device for Multimodal Fusion and a Bridge between Signal and SenseQuek Francis<p/> <p>The catchment feature model addresses two questions in the field of multimodal interaction: how we bridge video and audio processing with the realities of human multimodal communication, and how information from the different modes may be fused. We argue from a detailed literature review that gestural research has clustered around manipulative and semaphoric use of the hands, motivate the catchment feature model psycholinguistic research, and present the model. In contrast to &#147;whole gesture&#148; recognition, the catchment feature model applies a feature decomposition approach that facilitates cross-modal fusion at the level of discourse planning and conceptualization. We present our experimental framework for catchment feature-based research, cite three concrete examples of catchment features, and propose new directions of multimodal research based on the model.</p>http://dx.doi.org/10.1155/S1110865704405101multimodal interactiongesture interactionmultimodal communicationsmotion symmetriesgesture space use
spellingShingle Quek Francis
The Catchment Feature Model: A Device for Multimodal Fusion and a Bridge between Signal and Sense
EURASIP Journal on Advances in Signal Processing
multimodal interaction
gesture interaction
multimodal communications
motion symmetries
gesture space use
title The Catchment Feature Model: A Device for Multimodal Fusion and a Bridge between Signal and Sense
title_full The Catchment Feature Model: A Device for Multimodal Fusion and a Bridge between Signal and Sense
title_fullStr The Catchment Feature Model: A Device for Multimodal Fusion and a Bridge between Signal and Sense
title_full_unstemmed The Catchment Feature Model: A Device for Multimodal Fusion and a Bridge between Signal and Sense
title_short The Catchment Feature Model: A Device for Multimodal Fusion and a Bridge between Signal and Sense
title_sort catchment feature model a device for multimodal fusion and a bridge between signal and sense
topic multimodal interaction
gesture interaction
multimodal communications
motion symmetries
gesture space use
url http://dx.doi.org/10.1155/S1110865704405101
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