Abstract
With the increase in the number of smartphone users and the penetration rate now exceeding 85%, providing personalized services to individuals with smartphones has become an important research subject. In this paper, we propose a system that collects and analyzes a user’s information based on a multi-modal sensor in the mobile device to generate meaningful information based on a user’s life-log. To extract the point of interest, the system scenario was created and the experimental and analysis results were applied. We compared the performance of the classification algorithm using the evaluation scale and applied the Naive Bayes algorithm, which was judged to be an efficient algorithm, to the activity recognition system. Using this system, information can be collected and analyzed, and meaningful information can be generated and presented to the user. The information managed by this system will be used for research on services/products that are optimized for personal preferences.
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Acknowledgment
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2015R1D1A1A01059253).
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Nam, Y., Shin, D., Shin, D. (2018). Life Log Collection and Analysis System Using Mobile Device. In: Park, J., Loia, V., Yi, G., Sung, Y. (eds) Advances in Computer Science and Ubiquitous Computing. CUTE CSA 2017 2017. Lecture Notes in Electrical Engineering, vol 474. Springer, Singapore. https://doi.org/10.1007/978-981-10-7605-3_19
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DOI: https://doi.org/10.1007/978-981-10-7605-3_19
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