Toward a Novel Multi-modal HCI: Fusion Architecture Using Confidence Score and Fuzzy Value
Identifieur interne : 005684 ( Main/Merge ); précédent : 005683; suivant : 005685Toward 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 :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2007.
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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<front><div type="abstract" xml:lang="en">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.</div>
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