Title
Extracting Personal User Context with a Three-Axis Sensor Mounted on a Freely Carried Cell Phone
Abstract
To realize ubiquitous services such as presence services and health care services, we propose an algorithm to extract "personal user context" such as user's behavior; it processes information gathered by a three-axis accelerometer mounted on a cell phone. Our algorithm has two main functions; one is to extract feature vectors by analyzing sensor data in detail by wavelet packet decomposition. The other is to flexibly cluster personal user context by combining a self-organizing algorithm with Bayesian theory. A prototype that implements the algorithm is constructed. Experiments on the prototype show that the algorithm can identify personal user contexts such as walking, running, going up/down stairs, and walking fast with an accuracy of about 88[%].
Year
Venue
Keywords
2006
SIGMAP 2006: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND MULTIMEDIA APPLICATIONS
context extraction,sensors,cell phone,wavelet packet,Kohonen self-organizing map,ubiquitous service,accelerometer
Field
DocType
Citations 
Computer vision,Accelerometer,Computer science,Kohonen self organizing map,Phone,Artificial intelligence
Conference
1
PageRank 
References 
Authors
0.40
1
2
Name
Order
Citations
PageRank
Toshiki Iso1626.49
Kenichi Yamazaki215112.39