Expertises
Agriculture & Biology
# Electrodes
# Hooves
# Horses
# Kinetics
# Limbs (Animal)
# Neural Networks
# Prediction
# Standardization
Verbonden aan
Publicaties
Recent
Parmentier, J. I. M., Serra Bragança, F. M., Hernlund, E.
, & van der Zwaag, B. J. (2023).
Terrain Type Detection for Smart Equine Gait Analysis Systems Using Inertial Sensors and Machine Learning. 103-111. Paper presented at 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023, Paphos, Cyprus.
https://doi.org/10.1109/DCOSS-IoT58021.2023.00029
Parmentier, J. I. M., Serra Bragança, F. M., Hernlund, E.
, & van der Zwaag, B. J. (2023).
Surface types can be classified with equine IMUs data and machine learning.
Comparative Exercise Physiology,
19(Suppl. 1), S9.
https://www.wageningenacademic.com/doi/10.3920/cep2023.s1
Parmentier, J. I. M.
, van der Zwaag, B. J., Hernlund, E., Rhodin, M., & Serra Bragança, F. M. (2023).
Applying deep learning to IMU data to classify lameness location in horses. S10. Abstract from 9th International Conference on Equine and Canine Locomotion, ICEL 2023, Utrecht, Netherlands.
https://doi.org/10.3920/cep2023.s1
Darbandi, H., Munsters, C.
, Parmentier, J. I. M.
, & Havinga, P. J. M. (2023).
Detecting fatigue of sport horses with biomechanical gait features using inertial sensors.
PLoS ONE,
18(4), Article e0284554.
https://doi.org/10.1371/journal.pone.0284554
Parmentier, J. I. M.
, Bosch, S.
, Zwaag, B. J. V. D., Weishaupt, M. A., Gmel, A. I.
, Havinga, P. J. M., Weeren, P. R. V., & Serra Bragança, F. M. (2023).
Prediction of continuous and discrete kinetic parameters in horses from inertial measurement units data using recurrent artificial neural networks.
Scientific reports,
13(1), 740. Article 740.
https://doi.org/10.1038/s41598-023-27899-4
Parmentier, J. I. M., Darbandi, H., Munsters, C. C. B. M., & Serra Bragança, F. M. (2022).
The effect of standardised exercise tests on equine kinematics varies between disciplines.
Comparative Exercise Physiology,
18(Suppl. 1), S74-S74.
https://doi.org/10.3920/cep2022.s1
Parmentier, J. I. M., Malmei, S. N., Hartmann, M., & Brommer, H. (2022).
Effects of 3D-printed horseshoes on kinematic hoof-parameters at trot on hard surface.
Comparative Exercise Physiology,
18(Suppl. 1), S73-S73.
https://doi.org/10.3920/cep2022.s1
Parmentier, J. I. M., Serra Bragança, F. M.
, & van der Zwaag, B. J. (2022).
Benchmarking feature selection algorithms for optimal classification and dataset comprehension: a biomechanical application.
Computer methods in biomechanics and biomedical engineering,
25(Suppl. 1), S245-S247.
https://doi.org/10.1080/10255842.2022.2116885
Darbandi, H., Munsters, C. B. M.
, Parmentier, J. I. M.
, & Havinga, P. J. M. (2022).
Quantitative detection of fatigue in sport horses using inertial sensors and machine learning.
Comparative Exercise Physiology,
18(Suppl. 1), S55-S55.
https://doi.org/10.3920/cep2022.s1
Parmentier, J. I. M.
, Zwaag, B. J. V. D., Weishaupt, M. A., Gmel, A. I.
, Havinga, P. J. M., van Weeren, P. R., & Serra Bragança, F. M. (2022).
Prediction of kinetic parameters from body mounted IMU data using recurrent neural networks.
Comparative Exercise Physiology,
18(Suppl. 1), S45-S45.
https://doi.org/10.3920/cep2022.s1
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Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
(gebouwnr. 11), kamer 5034
Hallenweg 19
7522NH Enschede
Postadres
Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
5034
Postbus 217
7500 AE Enschede