AI-Based Task Classification With Pressure Insoles for Occupational Safety-Reference-Cited by-同舟云学术

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AI-Based Task Classification With Pressure Insoles for Occupational Safety

Published:2024 Issue: Volume:12 Page:21347-21357
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

O’Sullivan Patricia¹^ORCID,Menolotto Matteo¹^ORCID,Visentin Andrea²,O’Flynn Brendan¹^ORCID,Komaris Dimitrios-Sokratis³^ORCID

Affiliation:

1. Wireless Sensor Networks Group, Tyndall National Institute, University College Cork, Cork 21, Ireland

2. School of Computer Science and IT, University College Cork, Cork 21, Ireland

3. Mechanical Engineering Department, Aston University, Birmingham, U.K.

Funder

Science Foundation Ireland

SFI through the European Regional Development Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10418884.pdf?arnumber=10418884

Reference65 articles.

1. The Reliability and Validity of the Loadsol® under Various Walking and Running Conditions

2. Foot centre of pressure and ground reaction force during quadriceps resistance exercises; a comparison between force plates and a pressure insole system

3. Use of pressure insoles to calculate the complete ground reaction forces

4. Using force sensing insoles to predict kinetic knee symmetry during a stop jump

5. Accuracy and precision of loadsol® insole force-sensors for the quantification of ground reaction force-based biomechanical running parameters

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