C4.5: programs for machine learning
C4.5: programs for machine learning
Experiences of developing and deploying a context-aware tourist guide: the GUIDE project
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Machine Learning
Combining the Self-Organizing Map and K-Means Clustering for On-Line Classification of Sensor Data
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Time Series Segmentation for Context Recognition in Mobile Devices
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
ISWC '97 Proceedings of the 1st IEEE International Symposium on Wearable Computers
Context Awareness by Analyzing Accelerometer Data
ISWC '00 Proceedings of the 4th IEEE International Symposium on Wearable Computers
What Shall We Teach Our Pants?
ISWC '00 Proceedings of the 4th IEEE International Symposium on Wearable Computers
SenSay: A Context-Aware Mobile Phone
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Communications of the ACM - The disappearing computer
Wearable Wellness Monitoring Using ECG and Accelerometer Data
ISWC '05 Proceedings of the Ninth IEEE International Symposium on Wearable Computers
IEEE Transactions on Mobile Computing
Classification of Posture and Movement Using a 3-axis Accelerometer
ICCIT '07 Proceedings of the 2007 International Conference on Convergence Information Technology
Proceedings of the 6th ACM conference on Embedded network sensor systems
Approaching process mining with sequence clustering: experiments and findings
BPM'07 Proceedings of the 5th international conference on Business process management
Mobile context inference using low-cost sensors
LoCA'05 Proceedings of the First international conference on Location- and Context-Awareness
Human activity inference using hierarchical bayesian network in mobile contexts
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part I
Ego network models for Future Internet social networking environments
Computer Communications
A survey on smartphone-based systems for opportunistic user context recognition
ACM Computing Surveys (CSUR)
International Journal of Human-Computer Studies
An integrated logical context sensor for mobile web applications
Proceedings of the South African Institute for Computer Scientists and Information Technologists Conference
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The processing capabilities of mobile devices coupled with portable and wearable sensors provide the basis for new context-aware services and applications tailored to the user environment and daily activities. In this article, we describe the approach developed within the UPCASE project, which makes use of sensors available in the mobile device as well as sensors externally connected via Bluetooth to provide user contexts. We describe the system architecture from sensor data acquisition to feature extraction, context inference and the publication of context information in web-centered servers that support well-known social networking services. In the current prototype, context inference is based on decision trees to learn and to identify contexts dynamically at run-time, but the middleware allows the integration of different inference engines if necessary. Experimental results in a real-world setting suggest that the proposed solution is a promising approach to provide user context to local mobile applications as well as to network-level applications such as social networking services.