A User-Independent and Sensor-Tolerant Wearable Activity Classifier
Publication
, Journal Article
Blake, M; Younes, R; Dennis, J; Martin, TL; Jones, M
Published in: Computer
October 1, 2015
An activity classifier based on an abstract model of the human body is suitable for use in an e-textile monitoring system without the need to retrain the recognition model to accommodate different users, sensor types, or garments.
Duke Scholars
Published In
Computer
DOI
ISSN
0018-9162
Publication Date
October 1, 2015
Volume
48
Issue
10
Start / End Page
64 / 71
Related Subject Headings
- Software Engineering
- 08 Information and Computing Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Blake, M., Younes, R., Dennis, J., Martin, T. L., & Jones, M. (2015). A User-Independent and Sensor-Tolerant Wearable Activity Classifier. Computer, 48(10), 64–71. https://doi.org/10.1109/MC.2015.296
Blake, M., R. Younes, J. Dennis, T. L. Martin, and M. Jones. “A User-Independent and Sensor-Tolerant Wearable Activity Classifier.” Computer 48, no. 10 (October 1, 2015): 64–71. https://doi.org/10.1109/MC.2015.296.
Blake M, Younes R, Dennis J, Martin TL, Jones M. A User-Independent and Sensor-Tolerant Wearable Activity Classifier. Computer. 2015 Oct 1;48(10):64–71.
Blake, M., et al. “A User-Independent and Sensor-Tolerant Wearable Activity Classifier.” Computer, vol. 48, no. 10, Oct. 2015, pp. 64–71. Scopus, doi:10.1109/MC.2015.296.
Blake M, Younes R, Dennis J, Martin TL, Jones M. A User-Independent and Sensor-Tolerant Wearable Activity Classifier. Computer. 2015 Oct 1;48(10):64–71.
Published In
Computer
DOI
ISSN
0018-9162
Publication Date
October 1, 2015
Volume
48
Issue
10
Start / End Page
64 / 71
Related Subject Headings
- Software Engineering
- 08 Information and Computing Sciences