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| Content Provider | ACM Digital Library |
|---|---|
| Author | Sun, Guodong Cui, Jian Xu, Bin |
| Abstract | 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. |
| Starting Page | 399 |
| Ending Page | 400 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781450307185 |
| DOI | 10.1145/2070942.2071009 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2011-11-01 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Activity analyzing Mobile devices Energy efficiency Implementation |
| Content Type | Text |
| Resource Type | Article |
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