Publication:
Comparing Features Extraction Techniques Using J48 for Activity Recognition on Mobile Phones

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2012

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Springer

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Advances in Intelligent and Soft Computing
151
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To cite this item, use the following identifier: https://hdl.handle.net/10016/18242

Abstract

Nowadays, mobile phones are not only used for mere communication such as calling or sending text messages. Mobile phones are becoming the main computer device in people's lives. Besides, thanks to the embedded sensors (Accelerometer, digital compass, gyroscope, GPS,and so on) is possible to improve the user experience. Activity recognition aims to recognize actions and goals of individual from a series of observations of themselves, in this case is used an accelerometer.

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Proceedings of: 10th Conference on Practical Applications of Agents and Multi-Agent Systems, 28-30 March, 2012.Workshop on Agents and Multi-agent systems for Enterprise Integration

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Omatu, S. et al. (eds.), 2012. Distributed Computing and Artificial Intelligence: 9th International Conference (Advances in Intelligent and Soft Computing, 151), Springer, pp. 141-150.
DOI: 10.1007/978-3-642-28765-7_18

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