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| Content Provider | ACM Digital Library |
|---|---|
| Author | Bicocchi, Nicola Zambonelli, Franco Fontana, Damiano |
| Abstract | Massive networks of wearable devices have recently become a key scenario for pattern recognition technologies. Applications range from implicit human-machine interactions, to autonomous monitoring of user habits and activities. This paper presents a framework providing developers with tools to orchestrate the continuous process of collecting and classifying data streams in aware-systems. It supports service oriented, reconfigurable components and provides a solid background to put at joint work specification- and data-driven approaches. It also provides an innovative meta-classification scheme allowing to implement applications by editing a simple state automata. Experimental results suggest that the approach could be integrated in a number of applications for: (i) improving energy efficiency, (ii) improving classification accuracy and (iii) improving software engineering of aware systems. |
| Starting Page | 1057 |
| Ending Page | 1062 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781450330473 |
| DOI | 10.1145/2638728.2659391 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2014-09-13 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
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