SensLoc: sensing everyday places and paths using less energy
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
The Jigsaw continuous sensing engine for mobile phone applications
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Will you have a good sleep tonight?: sleep quality prediction with mobile phone
Proceedings of the 7th International Conference on Body Area Networks
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This paper designs, implements, and evaluates the AD-Sense system, an activity-driven sensing framework for mobile devices, which aims at providing good accuracy of sensing while reducing the energy consumption. AD-Sense first accurately extracts user's activity, with only acceleration data from user-hold device. Then, according to the activity information, AD-Sense dynamically determines sensor-probing pattern, such as localization, in order that it may use as less energy as possible while meeting the application fidelity. Analysis and testbed experiments show that AD-Sense efficiently tradeoffs the energy consumption and the accuracy requirement, and reduces the hand-operated overhead of user.