A Large Scale Gathering System for Activity Data using Mobile Devices

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Yuichi Hattori, Sozo Inoue,
Journal of Information Processing
In this paper, we introduce a large-scale activity gathering system with mo- bile sensor devices such as smart phones and accelerometers. We gathered over 35,000 activity data from more than 200 people approximately 13 months. We describe the design rationale of the system, analyze the gathered data through statistics and clustering, and application of an existing activity recognition method. From the recognition, the performance of existing algorithm drasti- cally deteriorated using the gathered data as training data. This results show that we found still a challenging field for activity recognition in larger-scale activity data.

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