Classifying Elite From Novice Athletes Using Simulated Wearable Sensor Data-Reference-Cited by-同舟云学术

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Classifying Elite From Novice Athletes Using Simulated Wearable Sensor Data

Published:2020-08-04 Issue: Volume:8 Page:
ISSN:2296-4185
Container-title:Frontiers in Bioengineering and Biotechnology
language:
Short-container-title:Front. Bioeng. Biotechnol.

Author:

Ross Gwyneth B.,Dowling Brittany,Troje Nikolaus F.,Fischer Steven L.,Graham Ryan B.

Funder

Natural Sciences and Engineering Research Council of Canada

Ontario Ministry of Research, Innovation and Science

Publisher

Frontiers Media SA

Subject

Biomedical Engineering,Histology,Bioengineering,Biotechnology

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4. Validity of an inertial measurement unit to assess pelvic orientation angles during gait, sit – stand transfers and step-up transfers: comparison with an optoelectronic motion captur.;Bolink;Med. Eng. Phys.,2018

5. Sensor data required for automatic recognition of athletic tasks using deep neural networks.;Clouthier;Front. Bioeng. Biotechnol.,2020

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