Spine versus Porcupine: A Study in Distributed Wearable Activity Recognition
ISWC '04 Proceedings of the Eighth International Symposium on Wearable Computers
An integrated data management approach to manage health care data
Proceedings of the Third ACM International Conference on Distributed Event-Based Systems
ADACEM: automatic daily activity and calorie expenditure monitor on mobile phones
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
CODES/ISSS '10 Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
Proceedings of the 6th International Conference on Body Area Networks
Wireless sensor networks in the wild: three practical issues after a middleware deployment
Proceedings of the 6th International Workshop on Middleware Tools, Services and Run-time Support for Networked Embedded Systems
Proceedings of the 6th International Conference on Body Area Networks
Adaptive gym exercise counting for myHealthAssistant: poster abstract
Proceedings of the 6th International Conference on Body Area Networks
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Recent advances in wearable sensors have surged in novel fitness and preventive health care systems that measure step counts, activity levels, and performed exercises with inertial sensors, enabling users to monitor condition and day-to-day lifestyle. This paper presents a middleware designed for a smartphone unit to support health monitoring applications. Its event-driven architecture enables modular system design and seamless switching between sets of embedded sensors. The strengths of the middleware are highlighted in a deployed feasibility study where daily and gym activities are recognized through an interchangeable set of wireless sensors. The study demonstrates that the setup is suitable for daily usage with minimal impact on the phone's resources.