Meeting lifetime goals with energy levels
Proceedings of the 5th international conference on Embedded networked sensor systems
Eon: a language and runtime system for perpetual systems
Proceedings of the 5th international conference on Embedded networked sensor systems
An energy-aware framework for dynamic software management in mobile computing systems
ACM Transactions on Embedded Computing Systems (TECS)
Activity sensing in the wild: a field trial of ubifit garden
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 6th international conference on Mobile systems, applications, and services
Resource aware programming in the Pixie OS
Proceedings of the 6th ACM conference on Embedded network sensor systems
Validated caloric expenditure estimation using a single body-worn sensor
Proceedings of the 11th international conference on Ubiquitous computing
A Scalable and Energy-Efficient Context Monitoring Framework for Mobile Personal Sensor Networks
IEEE Transactions on Mobile Computing
Proceedings of the 12th ACM international conference on Ubiquitous computing
MobiCon: a mobile context-monitoring platform
Communications of the ACM
Jog falls: a pervasive healthcare platform for diabetes management
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
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In this paper, we propose Healthopia, a full-fledged health monitoring platform. With the prevalence of smartphones and wearable health sensors, sensor-enabled mobile well-being applications emerge, for instance, calorie monitor [13], fall detector [11], pollution detector, heartbeat monitor [1][4]. Despite the importance and usefulness of such applications, it is significantly challenging to develop such applications; developers should concern about many complicated issues, such as accurate data analysis and inferring, distributed programming over multiple sensing devices, resource optimization. To address such issues, and facilitate the development and deployment of the applications, we develop Healthopia platform. Using the declarative query-based API, applications can easily delegate monitoring requests for diverse health information, e.g., calorie consumption, heart condition, pollution level. Healthopia takes care of complicated underlying issues in sensor data processing and resource management, and delivers the requested health information. In this paper, we propose a novel sensor control technique applied in Healthopia, which reduces battery power significantly.