Human Activity Recognition on Smartphones with Awareness of Basic Activities and Postural Transitions-Reference-Cited by-同舟云学术

Human Activity Recognition on Smartphones with Awareness of Basic Activities and Postural Transitions

Published:2014 Issue: Volume: Page:177-184
ISSN:0302-9743
Container-title:Artificial Neural Networks and Machine Learning – ICANN 2014
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Author:

Reyes-Ortiz Jorge-Luis,Oneto Luca,Ghio Alessandro,Samá Albert,Anguita Davide,Parra Xavier

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-11179-7_23

Reference14 articles.

1. Anguita, D., Ghio, A., Oneto, L., Parra, X., Reyes-Ortiz, J.L.: A public domain dataset for human activity recognition using smartphones. In: European Symposium on Artificial Neural Networks (2013)

2. Anguita, D., Ghio, A., Oneto, L., Parra, X., Reyes-Ortiz, J.L.: Energy Efficient Smartphone-Based Activity Recognition using Fixed-Point Arithmetic. Journal of Universal Computer Science 19, 1295–1314 (2013)

3. Bache, K., Lichman, M.: UCI machine learning repository (2013), http://archive.ics.uci.edu/ml

4. Lecture Notes in Computer Science;L. Bao,2004

5. Dernbach, S., Das, B., Krishnan, N., Thomas, B., Cook, D.: Simple and complex activity recognition through smart phones. In: International Conference on Intelligent Environments (2012)

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