HealthSense project targets the automated detection of health-related events that cannot be directly observed by current sensor technology, like tow conditions, pain, or depression.
| Application metadata | |
|---|---|
| Area of expertise | Determine medical conditions |
| Application name | HealthSense |
| Website | |
| Platforms | Nokia Symbian: Nokia Symbian |
| Sensors | Accelerometer, Bluetooth, Bluetooth |
| License of source code | Open |
| Cost for use | Free |
| Engaging level | Hybrid |
| Incentive techniques | Self-Centered |
| Type of access | Authenticated |
| Proposition paper | |
|---|---|
| Title | HealthSense: Classification of Health-related Sensor Data through User-Assisted Machine Learning |
| Url | http://robotics.usc.edu/~gaurav/CS546/readings/stuntebeck_hotmobile2008.pdf |
| Citation | Stuntebeck, E.P., Davis, J.S., Abowd, G.D., Blount II, M., 2008. HealthSense: classifica- tion of health-related sensor data through user-assisted machine learning. In: Proceedings of the 9th Workshop on Mobile Computing Systems and Applica- tions (HotMobile), pp. 1–5. |
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