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Toward a Novel Multi-modal HCI: Fusion Architecture Using Confidence Score and Fuzzy Value

Identifieur interne : 005684 ( Main/Merge ); précédent : 005683; suivant : 005685

Toward a Novel Multi-modal HCI: Fusion Architecture Using Confidence Score and Fuzzy Value

Auteurs : Jung-Hyun Kim [Corée du Sud, États-Unis] ; Jeh-Seon Youn [Corée du Sud] ; Kwang-Seok Hong [Corée du Sud]

Source :

RBID : ISTEX:E10D2759B623E1013FDE3C04DE3218A885A57CB0

Abstract

Abstract: This paper describes a wireless PDA-based Multi-Modal Interaction Architecture (hereinafter, MMIA) fusing 3 sensory channels, which are a detachable stylus that can be used on the touch screen by coupling embedded speech and KSSL recognizer. The MMIA fuses and recognizes 15 word-based instruction models that are represented by stylus (or touching), speech and KSSL (Korean Standard Sign Language), and then translates the recognition result into synthetic speech and visual illustration, for multi-modal PDA handling and interaction. The experimental results, each average recognition rate for the MMIA fusing 3 sensory channels was 95.73% in clean environments, and 93.29% was shown in noisy environments.

Url:
DOI: 10.1007/978-3-540-74819-9_31

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ISTEX:E10D2759B623E1013FDE3C04DE3218A885A57CB0

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