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Multimodal Interface for Human-Machine Communication

Authors: P C Yuen; Y Y Tang; P S P Wang;

Multimodal Interface for Human-Machine Communication

Abstract

Introduction to multimodal interface for human-machine communication, P.C. Yuen et al. Algorithms - a face location and recognition system based on tangent distance, R. Mariani recognizing action units for facial expression analysis, Y.-L. Tian et al view synthesis under perspective projection, G.C. Feng et al. Single modality systems: sign language recognition, W. Gao and C. Wang helping designers create recognition-enabled interfaces, A.C. Long et al. Information retrieval: cross-language text retrieval by query translation using term re-weighting, I. Kang et al direct feature extraction in DCT domain and its applications in online web image retrieval for JPEG compressed images, G. Feng et al. Multimodality systems: advances in the robust processing of multimodal speech and pen systems, S. Oviatt information-theoretic fusion for multimodal interfaces, J.W. Fisher III and T. Darrell using virtual humans for multimodal communication in virtual reality and augmented reality, D. Thalmann.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average
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