Novel approaches to human activity recognition based on accelerometer data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
http://link.springer.com/article/10.1007/s11760-018-1293-x/fulltext.html
Reference32 articles.
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3. Catal, C., Tufekci, S., Pirmit, E., Kocabag, G.: On the use of ensemble of classifiers for accelerometer-based activity recognition. Appl. Soft Comput. 37, 1018–1022 (2015)
4. Charvátová, H., Procházka, A., Vaseghi, S., Vysata, O., Valis, M.: Gps-based analysis of physical activities using positioning and heart rate cycling data. SIViP 11(2), 251–258 (2017)
5. Chen, Y., Xue, Y.: A deep learning approach to human activity recognition based on single accelerometer. In: IEEE SMC (2015)
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