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Stick'n conversation: stick in-car conversation into places using multi person finger pointing gestures

Published:01 September 2015Publication History

ABSTRACT

In-car conversations are transient and cannot be shared with others. We propose a method to stick in-car conversation into places by the recognition of multiple peoples' finger pointing gestures. We use a motion capture device to detect finger pointing gestures and their directions. Moreover, we identify a point of interest by calculating the intersection of the finger pointing gestures. Furthermore, we investigate the accuracy of the proposed method and assess user experience using an in-house car journey simulator and discuss possibilities and limitations of the proposed method.

References

  1. K. Matsumura and Y. Sumi. 2014. What Are You Talking About While Driving?: An Analysis of In-car Conversations Aimed at Conversation Sharing. In Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '14). ACM, New York, NY, USA, Article 34, 8 pages. DOI=10.1145/2667317.2667417 Google ScholarGoogle ScholarDigital LibraryDigital Library
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  1. Stick'n conversation: stick in-car conversation into places using multi person finger pointing gestures

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    • Published in

      cover image ACM Other conferences
      AutomotiveUI '15: Adjunct Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
      September 2015
      172 pages
      ISBN:9781450338585
      DOI:10.1145/2809730

      Copyright © 2015 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 1 September 2015

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      Overall Acceptance Rate248of566submissions,44%

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