In this paper, we show a large-scale activity gathering system with mobile sensor devices such as smart phones and accelerometers. We gathered over 35,000 activity data points from more than 200 people over approximately 13 months. We describe the design rationale of the system, and analyze the gathered data through statistics, clustering, and application of an existing activity recognition method. Our results show that there is a challenging field for activity recognition in larger-scale activity data.
['Yuichi Hattori', 'Sozo Inoue', 'Go Hirakawa']
A Large Scale Gathering System for Activity Data with Mobile Sensors