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An Improved Fusion Design of Audio-Gesture for Multi-modal HCI Based on Web and WPS

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Embedded Software and Systems (ICESS 2007)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 4523))

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Abstract

This paper introduces improved fission rule depending on SNNR (Signal Plus Noise to Noise Ratio) and fuzzy value for simultaneous multi-modality, and suggests the Fusion User Interface (hereinafter, FUI) including a synchronization between audio-gesture modalities, based on the embedded KSSL (Korean Standard Sign Language) recognizer using the WPS (Wearable Personal Station for the next generation PC) and Voice-XML. Our approach fuses and recognizes 62 sentential and 152 word language models that are represented by speech and KSSL, then translates recognition results that is fissioned according to a weight decision rule into synthetic speech and visual illustration (graphical display by HMD-Head Mounted Display) in real-time. The experimental results, average recognition rates of the FUI for 62 sentential and 152 word language models were 94.33% and 96.85% in clean environments (e.g. office space), and 92.29% and 92.91% were shown in noisy environments.

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Yann-Hang Lee Heung-Nam Kim Jong Kim Yongwan Park Laurence T. Yang Sung Won Kim

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© 2007 Springer Berlin Heidelberg

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Kim, JH., Hong, KS. (2007). An Improved Fusion Design of Audio-Gesture for Multi-modal HCI Based on Web and WPS. In: Lee, YH., Kim, HN., Kim, J., Park, Y., Yang, L.T., Kim, S.W. (eds) Embedded Software and Systems. ICESS 2007. Lecture Notes in Computer Science, vol 4523. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72685-2_29

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  • DOI: https://doi.org/10.1007/978-3-540-72685-2_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72684-5

  • Online ISBN: 978-3-540-72685-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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