Tryear: 2013

Trmonth: 3

Trnumber: 3

Title: Mobile Context-Aware Inference Toolbox and Service

Abstract: Emerging continuous sensing applications pose new challenges on smartphone’s software design. In this paper, we identified 6 classifiers and 9 sensors that can cover 70% of recent inference models for continuous sensing applications. we will describe the design of Mobile Context-Aware Inference Toolbox and Service. The design has two components: a toolbox that provide programmers with commonly used building blocks so they can develop inference models easily; a centralized service that can achieve CPU time and power saving internally by sharing feature extraction result among classifiers as well as sharing classifier inference result among applications.

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Urlpdfpaper: https://docs.google.com/file/d/0Bw3RgUXZhsrWN1I1c19oVklOLW8/edit?usp=sharing

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Urlpdfpresentation: https://docs.google.com/file/d/0Bw3RgUXZhsrWMmJhd2RQdWhnMU0/edit?usp=sharing

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Pubin: MS Project Report, UCLA Electrical Engineering Department

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Pubpagefirst: 1

Pubpagelast: 10

Pubpagecount: 10

Pubdate: 2013-03-01

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Pubplace: Los Angeles, CA

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Document category: #<DocumentCategory:0x007f418e423f48>

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