Would a thermal sensor improve arm motion classification accuracy of a single wrist-mounted inertial device?-Reference-Cited by-同舟云学术

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Would a thermal sensor improve arm motion classification accuracy of a single wrist-mounted inertial device?

Published:2019-05-07 Issue:1 Volume:18 Page:
ISSN:1475-925X
Container-title:BioMedical Engineering OnLine
language:en
Short-container-title:BioMed Eng OnLine

Author:

Lui Jordan^ORCID,Menon Carlo

Funder

Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada

Canada Research Chairs

Canadian Institutes of Health Research

Publisher

Springer Science and Business Media LLC

Subject

Radiology Nuclear Medicine and imaging,Biomedical Engineering,General Medicine,Biomaterials,Radiological and Ultrasound Technology

Link

http://link.springer.com/content/pdf/10.1186/s12938-019-0677-7.pdf

Reference57 articles.

1. Lara OD, Labrador MA. A survey on human activity recognition using wearable sensors. IEEE Commun Surveys Tutorials. 2013;15:1192–209. https://doi.org/10.1109/SURV.2012.110112.00192 .

2. Mannini A, Sabatini AM. Machine learning methods for classifying human physical activity from on-body accelerometers. Sensors. 2010;10:1154–75. https://doi.org/10.3390/s100201154 .

3. Patel S, Park H, Bonato P, Chan L, Rodgers M. A review of wearable sensors and systems with application in rehabilitation. J NeuroEng Rehabil. 2012;9:21. https://doi.org/10.1186/1743-0003-9-21 .

4. Zhou H, Hu H. Human motion tracking for rehabilitation—a survey. Biomed Signal Process Control. 2008;3:1–18. https://doi.org/10.1016/j.bspc.2007.09.001 .

5. Tian Y, Meng X, Tao D, Liu D, Feng C. Upper limb motion tracking with the integration of IMU and Kinect. Neurocomputing. 2015;159:207–18. https://doi.org/10.1016/j.neucom.2015.01.071 .

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