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Publications

Jump to: 2024 | 2023 | 2022 | 2021 | 2020

2023

Terrain Type Detection for Smart Equine Gait Analysis Systems Using Inertial Sensors and Machine Learning (2023)[Contribution to conference › Paper] 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023. Parmentier, J. I. M., Serra Bragança, F. M., Hernlund, E. & van der Zwaag, B. J.https://doi.org/10.1109/DCOSS-IoT58021.2023.00029Surface types can be classified with equine IMUs data and machine learning (2023)Comparative Exercise Physiology, 19(Suppl. 1), S9. Parmentier, J. I. M., Serra Bragança, F. M., Hernlund, E. & van der Zwaag, B. J.https://www.wageningenacademic.com/doi/10.3920/cep2023.s1Applying deep learning to IMU data to classify lameness location in horses (2023)[Contribution to conference › Abstract] 9th International Conference on Equine and Canine Locomotion, ICEL 2023. Parmentier, J. I. M., van der Zwaag, B. J., Hernlund, E., Rhodin, M. & Serra Bragança, F. M.https://doi.org/10.3920/cep2023.s1Prediction of continuous and discrete kinetic parameters in horses from inertial measurement units data using recurrent artificial neural networks (2023)Scientific reports, 13(1), 740. Article 740. 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.https://doi.org/10.1038/s41598-023-27899-4

2022

Benchmarking feature selection algorithms for optimal classification and dataset comprehension: a biomechanical application (2022)Computer methods in biomechanics and biomedical engineering, 25(Suppl. 1), S245-S247. Parmentier, J. I. M., Serra Bragança, F. M. & van der Zwaag, B. J.https://doi.org/10.1080/10255842.2022.2116885Estimation of hoof-on/off moments using inertial sensors and deep learning (2022)Comparative Exercise Physiology, 18(Suppl. 1), S54-S54. Darbandi, H., Serra Bragança, F. M., van der Zwaag, B. J., Rhodin, M., Hernlund, E., Hobbs, S. J., Clayton, H. M. & Havinga, P. J. M.https://doi.org/10.3920/cep2022.s1Accurate Horse Gait Event Estimation Using an Inertial Sensor Mounted on Different Body Locations (2022)In Proceedings - 2022 IEEE International Conference on Smart Computing, SMARTCOMP 2022 (pp. 329-335) (Proceedings IEEE International Conference on Smart Computing, SMARTCOMP; Vol. 2022). IEEE. Darbandi, H., Braganca, F. S., van der Zwaag, B. J. & Havinga, P.https://doi.org/10.1109/SMARTCOMP55677.2022.00076Prediction of kinetic parameters from body mounted IMU data using recurrent neural networks (2022)Comparative Exercise Physiology, 18(Suppl. 1), S45-S45. 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.https://doi.org/10.3920/cep2022.s1

2021

Author Correction: Improving gait classification in horses by using inertial measurement unit (IMU) generated data and machine learning (Scientific Reports, (2020), 10, 1, (17785), 10.1038/s41598-020-73215-9) (2021)Scientific reports, 11(1). Article 9379. Serra Bragança, F. M., Broomé, S., Rhodin, M., Björnsdóttir, S., Gunnarsson, V., Voskamp, J. P., Persson‑Sjodin, E., Back, W., Lindgren, G., Novoa‑Bravo, M., Gmel, A. I., Roepstorff, C., van der Zwaag, B. J., van Weeren, P. R. & Hernlund, E.https://doi.org/10.1038/s41598-021-88880-7Using different combinations of body-mounted IMU sensors to estimate speed of horses: A machine learning approach (2021)Sensors (Switzerland), 21(3). Article 798. Darbandi, H., Bragança, F. S., van der Zwaag, B. J., Voskamp, J., Gmel, A. I., Haraldsdóttir, E. H. & Havinga, P.https://doi.org/10.3390/s21030798

2020

Improving gait classification in horses by using inertial measurement unit (IMU) generated data and machine learning (2020)Scientific reports, 10(1). Article 17785. Serra Bragança, F. M., Broomé, S., Rhodin, M., Björnsdóttir, S., Gunnarsson, V., Voskamp, J. P., Persson-Sjodin, E., Back, W., Lindgren, G., Novoa-Bravo, M., Roepstorff, C., van der Zwaag, B. J., Van Weeren, P. R. & Hernlund, E.https://doi.org/10.1038/s41598-020-73215-9

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