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Demo: Enabling Dynamic Gesture Mapping with UI Events

Authors:

Lukasz ZiarekAuthors Info & Claims

MobiSys '17: Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services

Page 191

https://doi.org/10.1145/3081333.3089336

Published: 16 June 2017 Publication History

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Abstract

We demonstrate Gesto, a dynamic gesture mapping tool. It provides users to map any gesture to a certain UI event that the users need. Also, the mapping can be easily changed by users.

References

[1]

Daniel Ashbrook and Thad Starner. Magic: A motion gesture design tool. In CHI, New York, NY, USA, 2010. ACM.

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[2]

Tanzirul Azim, Oriana Riva, and Suman Nath. ulink: Enabling user-defined deep linking to app content. In MobiSys, New York, NY, USA, 2016. ACM.

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[3]

Rainhard Findling and Muhammad Muaaz. Shakeunlock: Securely unlock mobile devices by shaking them together. In MoMM, New York, NY, USA, 2014. ACM.

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[4]

Ryo Izuta, Kazuya Murao, Tsutomu Terada, and Masahiko Tsukamoto. Early gesture recognition method with an accelerometer. In MoMM, New York, NY, USA, 2014. ACM.

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Index Terms

Demo: Enabling Dynamic Gesture Mapping with UI Events
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction techniques
      1. Gestural input
    2. Interactive systems and tools
      1. User interface programming

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Published In

MobiSys '17: Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services

June 2017

520 pages

ISBN:9781450349284

DOI:10.1145/3081333

General Chairs:
Tanzeem Choudhury
Cornell University, USA
,
Steve Ko
University at Buffalo, USA
,
Program Chairs:
Andrew Campbell
Dartmouth College, USA
,
Deepak Ganesan
University of Massachusetts, USA

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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SIGOPS: ACM Special Interest Group on Operating Systems

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 June 2017

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National Science Foundation

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MobiSys'17

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SIGMOBILE

MobiSys'17: The 15th Annual International Conference on Mobile Systems, Applications, and Services

June 19 - 23, 2017

New York, Niagara Falls, USA

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MobiSys '17 Paper Acceptance Rate 34 of 188 submissions, 18%;

Overall Acceptance Rate 274 of 1,679 submissions, 16%

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Eye tracker based method for quantitative analysis of pathological nystagmus

Methods towards API usability: a structural analysis of usability problem categories

Demo: Low-power Capacitive Sensing Wristband for Hand Gesture Recognition

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Index Terms

Recommendations

Eye tracker based method for quantitative analysis of pathological nystagmus

Methods towards API usability: a structural analysis of usability problem categories

Demo: Low-power Capacitive Sensing Wristband for Hand Gesture Recognition

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