A large scale gathering system for activity data using mobile devices

Abstract

In this paper, we introduce a large-scale activity gathering system with mobile sensor devices such as smart phones and accelerometers. We gathered over 35,000 activity data from more than 200 people over 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 drastically deteriorated using the gathered data as training data. These results show that we were still able to find a challenging field for activity recognition in larger-scale activity data. © 2012 Information Processing Society of Japan.