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Machine learning as a tool to predict impact loading during over-ground distance running

(2019) Footwear Science. p.S74-S75
Author
Organization
Keywords
Physical Therapy, Sports Therapy and Rehabilitation, Biophysics, Orthopedics and Sports Medicine, Human Factors and Ergonomics, Biomedical Engineering

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Citation

Please use this url to cite or link to this publication:

MLA
Derie, Rud et al. “Machine Learning as a Tool to Predict Impact Loading During Over-ground Distance Running.” Footwear Science (2019): S74–S75. Print.
APA
Derie, R., Robberechts, P., Van den Berghe, P., Gerlo, J., De Clercq, D., Segers, V., & Davis, J. (2019). Machine learning as a tool to predict impact loading during over-ground distance running. Footwear Science, S74–S75. Presented at the 14th Footwear Biomechanics Symposium.
Chicago author-date
Derie, Rud, Pieter Robberechts, Pieter Van den Berghe, Joeri Gerlo, Dirk De Clercq, Veerle Segers, and Jesse Davis. 2019. “Machine Learning as a Tool to Predict Impact Loading During Over-ground Distance Running.” Footwear Science: S74–S75.
Chicago author-date (all authors)
Derie, Rud, Pieter Robberechts, Pieter Van den Berghe, Joeri Gerlo, Dirk De Clercq, Veerle Segers, and Jesse Davis. 2019. “Machine Learning as a Tool to Predict Impact Loading During Over-ground Distance Running.” Footwear Science: S74–S75.
Vancouver
1.
Derie R, Robberechts P, Van den Berghe P, Gerlo J, De Clercq D, Segers V, et al. Machine learning as a tool to predict impact loading during over-ground distance running. Footwear Science. 2019;S74–S75.
IEEE
[1]
R. Derie et al., “Machine learning as a tool to predict impact loading during over-ground distance running,” Footwear Science, pp. S74–S75, 2019.
@article{8626093,
  author       = {Derie, Rud and Robberechts, Pieter and Van den Berghe, Pieter and Gerlo, Joeri and De Clercq, Dirk and Segers, Veerle and Davis, Jesse},
  issn         = {1942-4280},
  journal      = {Footwear Science},
  keywords     = {Physical Therapy,Sports Therapy and Rehabilitation,Biophysics,Orthopedics and Sports Medicine,Human Factors and Ergonomics,Biomedical Engineering},
  language     = {eng},
  location     = {Kananaskis, Canada},
  pages        = {S74--S75},
  title        = {Machine learning as a tool to predict impact loading during over-ground distance running},
  url          = {http://dx.doi.org/10.1080/19424280.2019.1606085},
  year         = {2019},
}

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