Assessing Human Motion During Exercise Using Machine Learning: A Literature Review-Reference-Cited by-同舟云学术

Assessing Human Motion During Exercise Using Machine Learning: A Literature Review

Published:2022 Issue: Volume:10 Page:86874-86903
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Frangoudes Fotos¹^ORCID,Matsangidou Maria¹^ORCID,Schiza Eirini C.¹^ORCID,Neokleous Kleanthis¹^ORCID,Pattichis Constantinos S.¹^ORCID

Affiliation:

1. CYENS—Centre of Excellence, Nicosia, Cyprus

Funder

European Union’s Horizon 2020 Research and Innovation Programme and the Government of the Republic of Cyprus through the Deputy Ministry of Research, Innovation and Digital Policy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09857881.pdf?arnumber=9857881

Reference179 articles.

1. Activity Recognition Invariant to Wearable Sensor Unit Orientation Using Differential Rotational Transformations Represented by Quaternions

2. Inertial sensor-based lower limb joint kinematics: A methodological systematic review;weygers;SENSORS,2020

3. Trends supporting the in-field use of wearable inertial sensors for sport performance evaluation: A systematic review;camomilla;SENSORS,2018

4. A new hybrid deep learning model for human action recognition

5. A survey of depth and inertial sensor fusion for human action recognition

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