Smartphone-Based Patients’ Activity Recognition by Using a Self-Learning Scheme for Medical Monitoring-Reference-Cited by-同舟云学术

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Smartphone-Based Patients’ Activity Recognition by Using a Self-Learning Scheme for Medical Monitoring

Published:2016-04-22 Issue:6 Volume:40 Page:
ISSN:0148-5598
Container-title:Journal of Medical Systems
language:en
Short-container-title:J Med Syst

Author:

Guo Junqi,Zhou Xi,Sun Yunchuan,Ping Gong,Zhao Guoxing,Li Zhuorong

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)

Link

http://link.springer.com/content/pdf/10.1007/s10916-016-0497-2.pdf

Reference36 articles.

1. Győrbíró, N., Fábián, Á., and Hományi, G., An activity recognition system for mobile phones[J]. Mobile Netw Appl 14(1):82–91, 2009.

2. Arif, M., Bilal, M., Kattan, A., et al., Better physical activity classification using Smartphone acceleration sensor[J]. J Med Syst 38(9):1–10, 2014.

3. Moran, A. L., Ramrez-Fernandez, C., Meza-Kubo, V., Orihuela-Espina, F., Garca-Canseco, E., Grimaldo, A. I., and Sucar, E., On the e_ect ofprevious technological experience on the usability of a virtual rehabilitation tool forthe physical activation and cognitive stimulation of elders. J Med Syst 39(9):1–11, 2015.

4. Poppe, R., A survey on vision-based human action recognition[J]. Image Vis Comput 28(6):976–990, 2010.

5. Turaga, P., Chellappa, R., Subrahmanian, V. S., et al., Machine recognition of human activities: A survey[J]. IEEE Trans Circ Syst Video Technol 18(11):1473–1488, 2008.

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