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Adrian Rodriguez Rivadulla
Adrian Rodriguez Rivadulla
Dirección de correo verificada de bath.ac.uk
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A support vector machine algorithm can successfully classify running ability when trained with wearable sensor data from anatomical locations typical of consumer technology
JA Carter, AR Rivadulla, E Preatoni
Sports biomechanics, 1-18, 2022
82022
Development and validation of FootNet; a new kinematic algorithm to improve foot-strike and toe-off detection in treadmill running
A Rivadulla, X Chen, G Weir, D Cazzola, G Trewartha, J Hamill, ...
Plos one 16 (8), e0248608, 2021
82021
Athletic groin pain patients and healthy athletes demonstrate consistency in their movement strategy selection when performing multiple repetitions of a change of direction test
AR Rivadulla, S Gore, E Preatoni, C Richter
Journal of Science and Medicine in Sport 23 (5), 442-447, 2020
82020
Clustering long-distance runners based on their technique at one single speed does not generalise to multiple speeds
AR Rivadulla, X Chen, D Cazzola, G Trewartha, E Preatoni
ISBS Proceedings Archive 41 (1), 91, 2023
12023
The effects of focus of attention on the learning of the clean weightlifting technique in novices
AR Rivadulla, T Lawrenson, E Preatoni
36th International Conference on Biomechanics in Sports, 2018
12018
The approach chosen for data dimensionality reduction affects the results of running technique clustering
A Rivadulla, X Chen, D Cazzola, G Trewartha, E Preatoni
Congress of the International Society of Biomechanics (ISB), isb-jsb0561, 2023
2023
Does one single most economical running technique exist? Some preliminary results
A Rivadulla, X Chen, D Cazzola, G Trewartha, E Preatoni
Abstract Book of the 9th World Congress of Biomechanics, 10-14 July 2022, Taipei, 2022
2022
Dataset for" Development and validation of FootNet; a new kinematic algorithm to improve foot-strike and toe-off detection in treadmill running"
A Rodriguez Rivadulla, X Chen, G Weir, D Cazzola, G Trewartha, J Hamill, ...
University of Bath, 2021
2021
Development and validation of FootNet, a new kinematic and deep learning-based algorithm to detect foot-strike and toe-off in treadmill running
AR Rivadulla, X Chen, G Weir, D Cazzola, G Trewartha, J Hamill, ...
Congress of the International Society of Biomechanics (ISB), 2021
2021
Support vector machines can classify runner’s ability using wearable sensor data from a variety of anatomical locations
JA Carter Mr, A R Rivadulla, E Preatoni
ISBS Proceedings Archive 39 (1), 280, 2021
2021
Athletic groin pain and healthy athletes show consistent movement strategy selection over multiple repetitions of a cutting task
AR Rivadulla, S Gore, E Preatoni, A Franklyn-Miller, C Richter
BASES Biomechanics Interest Group meeting 2019: BIG 2019, 2019
2019
Effects of focus of attention feedback on hip and knee coordination in the learning of the clean weightlifting technique
AR Rivadulla, T Lawrenson, E Preatoni
23rd Annual Congress of the European College of Sport Science, 2018
2018
Data Should Be Made as Simple as Possible But Not Simpler: The Method Chosen for Dimensionality Reduction and its Parameters Affect the Clustering of Runners Based on Their …
A Rivadulla, X Chen, D Cazzola, G Trewartha, E Preatoni
Available at SSRN 4784436, 0
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