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Smart ring: controlling call alert functionality based on audio and movement analysis

Published: 07 February 2010 Publication History

Abstract

In this work, we present a method for controlling call alert functionality in mobile phones. It has happened for almost everybody experiencing a situation that call alert functionality is not proper for actual ambient context, leading to missing a phone call or disturbing others by a loud ring. In this work, we use audio and physical movement analysis to distinguish between different situations in which a mobile phone may ring, and adjust the call alert functionality accordingly. Considering the fact that mobile phones are usually carried in a pocket or bag, capturing ambient audio is not usually practically perfect. The novelty in our work is using information about physical movements of user of mobile device in addition to analysis of ambient audio. Analysis of user movements is based on information captured by acceleration sensors integrated in mobile phone. The call alert functionality is then adjusted based on a combination of ambient audio level and physical activities of user.

References

[1]
Monk, A., Carroll, J., Parker, S., Blythe, M., Why are mobile phones annoying? Behaviour & Information Technology, Vol. 23, no. 1, pp. 33--41. Jan.-Feb. 2004
[2]
Daniel Siewiorek, Asim Smailagic, Junichi Furukawa, Neema Moraveji, Kathryn Reiger, and Jeremy Shaffer, SenSay: A Context-Aware Mobile Phone, Proceedings of the 7th IEEE International Symposium on Wearable Computers, 2003.
[3]
A Khalil, K Connelly, Context-aware Configuration: A study on improving cell phone awareness, Lecture Notes in Computer Science, 2005, Springer.
[4]
Chris Mitchell, Adjust Your Ring Volume For Ambient Noise, MSDN Magazine, October 2007.

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    cover image ACM Conferences
    IUI '10: Proceedings of the 15th international conference on Intelligent user interfaces
    February 2010
    460 pages
    ISBN:9781605585154
    DOI:10.1145/1719970

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 07 February 2010

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    Author Tags

    1. acceleration sensors
    2. ambient audio
    3. ambient context
    4. call alert functionality
    5. physical movements

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