Literature DB >> 33553133

Editorial: Machine Learning Approaches to Human Movement Analysis.

Matteo Zago1, Ana Francisca Rozin Kleiner2, Peter Andreas Federolf3.   

Abstract

Entities:  

Keywords:  PCA; artificial intelligence; biomechanics; gait analysis; motion analysis; motion classification; motor control; neural networks

Year:  2021        PMID： 33553133      PMCID： PMC7862562          DOI： 10.3389/fbioe.2020.638793

Source DB:  PubMed          Journal:  Front Bioeng Biotechnol        ISSN： 2296-4185


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  8 in total

Review 1.  Artificial intelligence in sports biomechanics: new dawn or false hope?

Authors:  Roger Bartlett
Journal:  J Sports Sci Med       Date:  2006-12-15       Impact factor: 2.988

2.  Gait biomechanics in the era of data science.

Authors:  Reed Ferber; Sean T Osis; Jennifer L Hicks; Scott L Delp
Journal:  J Biomech       Date:  2016-10-27       Impact factor: 2.712

Review 3.  Machine learning in human movement biomechanics: Best practices, common pitfalls, and new opportunities.

Authors:  Eni Halilaj; Apoorva Rajagopal; Madalina Fiterau; Jennifer L Hicks; Trevor J Hastie; Scott L Delp
Journal:  J Biomech       Date:  2018-09-13       Impact factor: 2.712

Review 4.  Machine Learning for 3D Kinematic Analysis of Movements in Neurorehabilitation.

Authors:  Ahmet Arac
Journal:  Curr Neurol Neurosci Rep       Date:  2020-06-15       Impact factor: 5.081

5.  Analysis of Big Data in Gait Biomechanics: Current Trends and Future Directions.

Authors:  Angkoon Phinyomark; Giovanni Petri; Esther Ibáñez-Marcelo; Sean T Osis; Reed Ferber
Journal:  J Med Biol Eng       Date:  2017-07-17       Impact factor: 1.553

6.  Artificial intelligence, machine learning and the evolution of healthcare: A bright future or cause for concern?

Authors:  L D Jones; D Golan; S A Hanna; M Ramachandran
Journal:  Bone Joint Res       Date:  2018-05-05       Impact factor: 5.853

7.  How We Found Our IMU: Guidelines to IMU Selection and a Comparison of Seven IMUs for Pervasive Healthcare Applications.

Authors:  Lin Zhou; Eric Fischer; Can Tunca; Clemens Markus Brahms; Cem Ersoy; Urs Granacher; Bert Arnrich
Journal:  Sensors (Basel)       Date:  2020-07-22       Impact factor: 3.576
  8 in total
  2 in total

1.  Artificial Neural Network Analyzing Wearable Device Gait Data for Identifying Patients With Stroke Unable to Return to Work.

Authors:  Marco Iosa; Edda Capodaglio; Silvia Pelà; Benedetta Persechino; Giovanni Morone; Gabriella Antonucci; Stefano Paolucci; Monica Panigazzi
Journal:  Front Neurol       Date:  2021-05-19       Impact factor: 4.003

Review 2.  Always Pay Attention to Which Model of Motor Learning You Are Using.

Authors:  Wolfgang I Schöllhorn; Nikolas Rizzi; Agnė Slapšinskaitė-Dackevičienė; Nuno Leite
Journal:  Int J Environ Res Public Health       Date:  2022-01-09       Impact factor: 3.390
  2 in total

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