Title :
A Large Scale Gathering System for Activity Data with Mobile Sensors
Author :
Hattori, Yuichi ; Inoue, Sozo ; Hirakawa, Go
Author_Institution :
Kyushu Inst. of Technol., Kitakyushu, Japan
Abstract :
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.
Keywords :
gait analysis; mobile computing; pattern clustering; sensor fusion; statistical analysis; accelerometers; activity recognition method; large scale activity data gathering system; mobile sensor devices; smart phones; Accelerometers; Accuracy; History; Mobile communication; Sensors; Servers; Smart phones; accelerometers; activity recognition; smart phones;
Conference_Titel :
Wearable Computers (ISWC), 2011 15th Annual International Symposium on
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4577-0774-2
DOI :
10.1109/ISWC.2011.32
