Context Awareness on Mobile Devices

Z.A. Pan; J.X. Zhu

doi:10.4028/www.scientific.net/AMM.743.742

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 743Context Awareness on Mobile Devices

Context Awareness on Mobile Devices

Abstract:

Context aware computing is important for applications to provide smarter and safer
service to mobile users, especially when users’ context changing rapidly or regularly. In this paper,
we propose a context aware model for mobile devices based on audio and location. The information
can easily obtained from sensors, e.g., microphones and GPS. Thus, exploiting the MFCC features
and the location, a Bayes Net is trained and built and will be used for context classifying in the
real-time classification. The results of experiments implemented on Android 4.0 platform
demonstrate promising performance, which indicates that the model is able to support real
applications.

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Periodical:

Applied Mechanics and Materials (Volume 743)

Pages:

742-747

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.743.742

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Online since:

March 2015

Authors:

Z.A. Pan*, J.X. Zhu

Keywords:

Audio Classification, Context Awareness, Location Recognition

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* - Corresponding Author

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