Activity Recognition Using One Triaxial Accelerometer: A Neuro-fuzzy Classifier with Feature Reduction-Reference-Cited by-同舟云学术

Activity Recognition Using One Triaxial Accelerometer: A Neuro-fuzzy Classifier with Feature Reduction

Published:2007 Issue: Volume: Page:395-400
ISSN:0302-9743
Container-title:Entertainment Computing – ICEC 2007
language:
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Author:

Yang Jhun-Ying,Chen Yen-Ping,Lee Gwo-Yun,Liou Shun-Nan,Wang Jeen-Shing

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-74873-1_47

Reference8 articles.

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

2. Chen, Y.-P., Yang, J.-Y., Liou, S.-N., Lee, G.-Y., Wang, J.-S.: Neural Classifiers for Activity Recognition Using Acceleration Measurements. In: Applied Mathematics and Computation (to appear)

3. Mathie, M.J., Celler, B.G., Lovell, N.H., Coster, A.C.F.: Classification of Basic Daily Movements Using a Triaxial Accelerometer. Medical and Biological Engineering and Computing 42(5), 679–687 (2004)

4. Ravi, N., Dandekar, N., Mysore, P., Littman, M.L.: Activity Recognition from Accelerometer Data. In: Proceedings of the Seventeenth Innovative Applications of Artificial Intelligence Conference, pp. 1541–1546 (2005)

5. Tsymbal, A., Puuronen, S., Pechenizkiy, M., Baumgarten, M., Patterson, D.: Eigenvector-Based Feature Extraction for Classification. In: Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference, pp. 354–358.

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