A machine-learning method for classifying and analyzing foot placement: Application to manual material handling-Reference-Cited by-同舟云学术

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A machine-learning method for classifying and analyzing foot placement: Application to manual material handling

Published:2019-12 Issue: Volume:97 Page:109410
ISSN:0021-9290
Container-title:Journal of Biomechanics
language:en
Short-container-title:Journal of Biomechanics

Author:

Muller A.,Vallée-Marcotte J.,Robert-Lachaine X.,Mecheri H.,Larue C.,Corbeil P.,Plamondon A.

Funder

Institut de Recherche Robert Sauvé en Santé et en Sécurité du Travail du Québec

Publisher

Elsevier BV

Subject

Rehabilitation,Biomedical Engineering,Orthopedics and Sports Medicine,Biophysics

Reference39 articles.

1. Medication status and dual-tasking on turning strategies in parkinson disease;Adamson;J. Neurol. Sci.,2019

2. Estimating the posterior probabilities using the k-nearest neighbor rule;Atiya;Neural Comput.,2005

3. Handling techniques: the influence of weight and height for experts and novices;Authier;Int. J. Occupat. Saf. Ergonom.,1995

4. Manual handling techniques: comparing novices and experts;Authier;Int. J. Ind. Ergon.,1996

5. Dynamics of turning sharpness influences freezing of gait in parkinson’s disease;Bhatt;Parkinsonism related Disord.,2013

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The influence of transfer distance and pace of work on foot positioning strategies and low back loading in a manual material handling task;Applied Ergonomics;2024-01

2. Automated Classification of the Phases Relevant to Work-Related Musculoskeletal Injury Risks in Residential Roof Shingle Installation Operations Using Machine Learning;Buildings;2023-06-18

3. Foot Position Measurement during Assistive Motion for Sit-to-Stand Using a Single Inertial Sensor and Shoe-Type Force Sensors;International Journal of Environmental Research and Public Health;2021-10-06

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