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Multi-modal Navigation for Interactive Wheelchair

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Advances in Multimodal Interfaces — ICMI 2000 (ICMI 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1948))

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Abstract

In this paper ongoing work on an intelligent interactive wheelchair is presented. Also described is a new approach that integrates multimodal information for the navigational control of the wheelchair using a neuro-fuzzy network. Experiments show that the multimodal approach is capable of navigational control for the wheelchair, and of facilitating task and information sharing and trading between human and machine.

This work is founded by research grants from the NSFC (Grant No. 59825105) and the 863 Program (Grant No. 863-512-98-20-3).

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Author information

Authors and Affiliations

  1. National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China

    Xueen Li, Tieniu Tan & Xiaojian Zhao

Authors
  1. Xueen Li
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  2. Tieniu Tan
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  3. Xiaojian Zhao
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Editor information

Editors and Affiliations

  1. Institute of Automation, Chinese Academy of Sciences, P.O.Box 2728, 100080, Beijing, China

    Tieniu Tan

  2. Computer Department, Media Laboratory, Tsinghua University, 100084, Beijing, China

    Yuanchun Shi

  3. Institute of Computing Technology, Chinese Academy of Sciences, P.O.Box 2704, 100080, Beijing, China

    Wen Gao

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© 2000 Springer-Verlag Berlin Heidelberg

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Li, X., Tan, T., Zhao, X. (2000). Multi-modal Navigation for Interactive Wheelchair. In: Tan, T., Shi, Y., Gao, W. (eds) Advances in Multimodal Interfaces — ICMI 2000. ICMI 2000. Lecture Notes in Computer Science, vol 1948. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-40063-X_77

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  • DOI: https://doi.org/10.1007/3-540-40063-X_77

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41180-2

  • Online ISBN: 978-3-540-40063-9

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