Toward a novel multi-modal HCI: fusion architecture using confidence score and fuzzy value

Authors:
Jung-Hyun Kim;Jeh-Seon Youn;Kwang-Seok Hong
Affiliations:
School of Information and Communication Engineering, Sungkyunkwan University, Suwon, KyungKi-do, Korea;HCILAB Co., LTD., Seoul, Korea;School of Information and Communication Engineering, Sungkyunkwan University, Suwon, KyungKi-do, Korea
Venue:
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Year:
2007

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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.