User Mobility State Detection Using Data Mining Method
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概要
- 論文の詳細を見る
Smartphone simplifies the development of cutting-edge and compelling applications in mobile phones. Location-based services used for context-aware pervasive applications are dependent on positioning technologies to obtain user location. Such technologies requires extensive amount of power that leads to battery draining and limits the full potential of Smartphones. We proposed user mobility state detection using data-mining method that identifies user state based on cellular network cell id with timestamp and low-cost computing accelerometer data. Thus, the main usage of recognized state is to control power consuming embedded components for the purpose of power saving. Experiment and results shows effectiveness in detection user mobility state.
- 2011-08-25
著者
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Urano Yoshiyori
Graduate School Of Global Information And Telecommunication Studies (gits) Waseda University
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Nakazato Hidenori
Graduate School Of Global Information And Telecommunication Studies Waseda University
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Sorianoa Geofrey
Graduate School Of Global Information And Telecommunication Studies Waseda University
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Shimamura Yasuaki
Oki Software Co. Ltd.
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SORIANO Geofrey
Graduate School of Global Information and Telecommunication Studies, Waseda University
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