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.
Research output: Contribution to journal › Review article › peer-review
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Chen, X. (Creator), Weir, G. (Creator), Cazzola, D. (Creator), Trewartha, G. (Creator), Hamill, J. (Creator), Preatoni, E. (Creator), Rodriguez Rivadulla, A. (Creator) (26 Jul 2021). Dataset for "Development and validation of FootNet; a new kinematic algorithm to improve foot-strike and toe-off detection in treadmill running". University of Bath. 10.15125/BATH-00965