Human Activity Recognition from Body Sensor Data using Deep Learning-Reference-Cited by-同舟云学术

Human Activity Recognition from Body Sensor Data using Deep Learning

Published:2018-04-16 Issue:6 Volume:42 Page:
ISSN:0148-5598
Container-title:Journal of Medical Systems
language:en
Short-container-title:J Med Syst

Author:

Hassan Mohammad Mehedi^ORCID,Huda Shamsul,Uddin Md Zia,Almogren Ahmad,Alrubaian Majed

Publisher

Springer Science and Business Media LLC

Subject

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

Link

http://link.springer.com/article/10.1007/s10916-018-0948-z/fulltext.html

Reference38 articles.

1. Chen, Y., and Shen, C., Performance Analysis of smartphone-sensor behavior for human activity recognition. IEEE Access 5:3095–3110, 2017.

2. Cornacchia, M., Ozcan, K., Zheng, Y., and Velipasalar, S., A survey on activity detection and classification using wearable sensors. IEEE Sensors 17(2):386–403, 2017.

3. Campbell, A., and Choudhury, T., From smart to cognitive phones. IEEE Pervasive Computing 11(3):7–11, 2012.

4. Clarkson, B.P., Life patterns: structure from wearable sensors (Ph.D. thesis), Massachusetts Institute of Technology. 2002.

5. Avci, A., Bosch S., Marin-Perianu M., Marin-Perianu R., Havinga P., Activity recognition using inertial sensing for healthcare, wellbeing and sports applications: a survey. In: International Conference on Architecture of Computing Systems, pp. 1–10. ARCS, Berlin, 2010.

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