Zilverling

dr. H. Darbandi PhD (Hamed)

Onderzoeker
EEMCS-AM-MOR
Zilverling 5009
h.darbandi@utwente.nl
+31534898660
Visitekaartje

Expertises

  • Veterinary Science and Veterinary Medicine

    • Horse
    • Sacrum

  • Earth and Planetary Sciences

    • Gait
    • Investigation
    • Sport

  • Physics

    • Independent Variables
    • Model
    • Physical Exercise

Organisaties

Publicaties

2024

Non-invasive fitness assessment in horses: Integrating wearables and machine learning (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Darbandi, H.https://doi.org/10.3990/1.9789036561532

2023

Detecting fatigue of sport horses with biomechanical gait features using inertial sensors (2023)PLoS ONE, 18(4). Article e0284554. Darbandi, H., Munsters, C., Parmentier, J. I. M. & Havinga, P. J. M.https://doi.org/10.1371/journal.pone.0284554

2022

Quantitative detection of fatigue in sport horses using inertial sensors and machine learning (2022)Comparative Exercise Physiology, 18(Suppl. 1), S55-S55. Darbandi, H., Munsters, C. B. M., Parmentier, J. I. M. & Havinga, P. J. M.https://doi.org/10.3920/cep2022.s1A Machine Learning Approach to Analyze Rider’s Effects on Horse Gait Using On-Body Inertial Sensors (2022)[Contribution to conference › Other] 20th International Conference on Pervasive Computing and Communications, PerCom 2022. Darbandi, H. & Havinga, P. J. M.https://www.bing.com/videos/search?q=A+Machine+Learning+Approach+to+Analyze+Rider%e2%80%99s+Effects+on+Horse+Gait+Using+On-Body+Inertial+Sensors&qpvt=A+Machine+Learning+Approach+to+Analyze+Rider%e2%80%99s+Effects+on+Horse+Gait+Using+On-Body+Inertial+Sensors&view=detail&mid=2D9C40DCF18A660190782D9C40DCF18A66019078&&FORM=VRDGAR&ru=%2Fvideos%2Fsearch%3Fq%3DA%2BMachine%2BLearning%2BApproach%2Bto%2BAnalyze%2BRider%25e2%2580%2599s%2BEffects%2Bon%2BHorse%2BGait%2BUsing%2BOn-Body%2BInertial%2BSensors%26qpvt%3DA%2BMachine%2BLearning%2BApproach%2Bto%2BAnalyze%2BRider%25e2%2580%2599s%2BEffects%2Bon%2BHorse%2BGait%2BUsing%2BOn-Body%2BInertial%2BSensors%26FORM%3DVDREEstimation 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.s1The effect of standardised exercise tests on equine kinematics varies between disciplines (2022)Comparative Exercise Physiology, 18(Suppl. 1), S74-S74. Parmentier, J. I. M., Darbandi, H., Munsters, C. C. B. M. & Serra Bragança, F. M.https://doi.org/10.3920/cep2022.s1

2021

Using 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

Onderzoeksprofielen

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