Applying Multivariate Segmentation Methods to Human Activity Recognition From Wearable Sensors' Data. Li, K., Habre, R., Deng, H., Urman, R., Morrison, J., Gilliland, F. D, Ambite, J. L., Stripelis, D., Chiang, Y., Lin, Y., Bui, A. A., King, C., Hosseini, A., Van Vliet, E., Sarrafzadeh, M., & Eckel, S. P JMIR mHealth and uHealth, 7(2):e11201, February, 2019. Paper -file doi bibtex 2 downloads @ARTICLE{Li2019-gr,
title = "{Applying Multivariate Segmentation Methods to Human Activity
Recognition From Wearable Sensors' Data}",
author = "Li, Kenan and Habre, Rima and Deng, Huiyu and Urman, Robert and
Morrison, John and Gilliland, Frank D and Ambite, Jos{\'e} Luis
and Stripelis, Dimitris and Chiang, Yao-Yi and Lin, Yijun and
Bui, Alex At and King, Christine and Hosseini, Anahita and Van
Vliet, Eleanne and Sarrafzadeh, Majid and Eckel, Sandrah P",
journal = "JMIR mHealth and uHealth",
volume = 7,
number = 2,
pages = "e11201",
month = feb,
year = 2019,
url = "http://dx.doi.org/10.2196/11201",
url-file = "papers/Li-et-al.-2019-Applying-Multivariate-Segmentation-Methods-to-Human-Activity-Recognition-From-Wearable-Sensors'-Data.pdf",
language = "en",
issn = "2291-5222",
pmid = "30730297",
doi = "10.2196/11201",
pmc = "PMC6386646"
}
Downloads: 2
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