Research output per year
Research output per year
Description
This dataset includes the input features and target labels needed to train and test FootNet. The input features include the distal tibia anteroposterior velocity, ankle plantar/dorsi flexion angle and foot centre of mass anteroposterior and vertical velocities. Additionally, ground reaction force data and trial names are also included.
| Date made available | 26 Jul 2021 |
|---|---|
| Publisher | University of Bath |
-
Clustering analysis across different speeds reveals two distinct running techniques with no differences in running economy
Rivadulla, A. R., Chen, X., Cazzola, D., Trewartha, G. & Preatoni, E., 11 Jul 2024, (E-pub ahead of print) In: Sports Biomechanics.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (SciVal)123 Downloads (Pure) -
Development and validation of FootNet; a new kinematic algorithm to improve foot-strike and toe-off detection in treadmill running
Rivadulla, A., Chen, X., Weir, G., Cazzola, D., Trewartha, G., Hamill, J. & Preatoni, E., 9 Aug 2021, In: PLoS ONE. 16, 8 August, e0248608.Research output: Contribution to journal › Review article › peer-review
Open Access10 Citations (SciVal)