Clustering analysis across different speeds reveals two distinct running techniques with no differences in running economy

Adrian R. Rivadulla, Xi Chen, Dario Cazzola, Grant Trewartha, Ezio Preatoni

Research output: Contribution to journal › Article › peer-review

2 Citations (SciVal)

229 Downloads (Pure)

2 results
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Dataset for "Development and validation of FootNet; a new kinematic algorithm to improve foot-strike and toe-off detection in treadmill running"
Rodriguez Rivadulla, A. (Creator), Chen, X. (Creator), Weir, G. (Creator), Cazzola, D. (Creator), Trewartha, G. (Creator), Hamill, J. (Creator) & Preatoni, E. (Creator), University of Bath, 26 Jul 2021
DOI: 10.15125/BATH-00965, https://github.com/adrianrivadulla/FootNet
Dataset
Dataset for "Clustering analysis across different speeds reveals two distinct running techniques with no differences in running economy"
Rodriguez Rivadulla, A. (Creator), Chen, X. (Creator), Cazzola, D. (Creator), Trewartha, G. (Creator) & Preatoni, E. (Creator), University of Bath, 11 Jul 2024
DOI: 10.15125/BATH-01636, https://github.com/adrianrivadulla/clustering_runners
Dataset