Human aware superorganisms
Pages 1057 - 1062
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.
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Index Terms
- Human aware superorganisms
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Published In
September 2014
1409 pages
ISBN:9781450330473
DOI:10.1145/2638728
- General Chairs:
- AJ Brush,
- Adrian Friday,
- Program Chairs:
- Julie Kientz,
- James Scott,
- Junehwa Song
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Published: 13 September 2014
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UbiComp '14: The 2014 ACM Conference on Ubiquitous Computing
September 13 - 17, 2014
Washington, Seattle
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Overall Acceptance Rate 764 of 2,912 submissions, 26%
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