dr.ir. B.J. van der Zwaag (Berend-Jan)

Assistant Professor
EEMCS-CS-PS
Zilverling 5016
b.j.vanderzwaag@utwente.nl
+31534898767
Business card

Expertise

  • Earth and Planetary Sciences

    • Building
    • Area
    • Block
    • Safety

  • Computer Science

    • Evaluation
    • Sensor Networks
    • Tracking System

  • Engineering

    • Service System

Organisations

Publications

2024
Non-invasive fitness assessment in horses: Integrating wearables and machine learning. University of Twente. Darbandi, H.https://doi.org/10.3990/1.9789036561532
2023
Terrain Type Detection for Smart Equine Gait Analysis Systems Using Inertial Sensors and Machine Learning, 103-111. 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, S9. Parmentier, J. I. M., Serra Bragança, F. M., Hernlund, E. & van der Zwaag, B. J.https://www.wageningenacademic.com/doi/10.3920/cep2023.s1Prediction of continuous and discrete kinetic parameters in horses from inertial measurement units data using recurrent artificial neural networks, Article 740, 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/s41598-023-27899-4Applying deep learning to IMU data to classify lameness location in horses, S10. Parmentier, J. I. M., van der Zwaag, B. J., Hernlund, E., Rhodin, M. & Serra Bragança, F. M.https://doi.org/10.3920/cep2023.s1
2022
Benchmarking feature selection algorithms for optimal classification and dataset comprehension: a biomechanical application, 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, 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.s1Prediction of kinetic parameters from body mounted IMU data using recurrent neural networks, 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.s1Accurate Horse Gait Event Estimation Using an Inertial Sensor Mounted on Different Body LocationsIn Proceedings - 2022 IEEE International Conference on Smart Computing, SMARTCOMP 2022 (pp. 329-335). IEEE. Darbandi, H., Braganca, F. S., van der Zwaag, B. J. & Havinga, P.https://doi.org/10.1109/SMARTCOMP55677.2022.00076
2021
Using different combinations of body-mounted IMU sensors to estimate speed of horses: A machine learning approach, 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, 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

Research profiles

Courses academic year 2023/2024

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses academic year 2022/2023

Address

University of Twente

Zilverling (building no. 11), room 5016
Hallenweg 19
7522 NH Enschede
Netherlands

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