Zilverling

dr.ir. J. Klein Brinke (Jeroen)

Universitair docent
EEMCS-CS-PS
Zilverling 5010
j.kleinbrinke@utwente.nl
+31534896434
Visitekaartje

Expertises

  • Computer Science

    • Channel State Information
    • Human Activity Recognition
    • Convolutional Neural Network
    • Wi-Fi
    • Activity Recognition

  • Earth and Planetary Sciences

    • State
    • Recognition
    • Human Activity

Organisaties

Publicaties

2024

Interwoven Waves: Enhancing the Scalability and Robustness of Wi-Fi Channel State Information for Human Activity Recognition (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Klein Brinke, J.https://doi.org/10.3990/1.9789036561419Using Federated Learning and Channel State Information-Based Sensing for Scalable and Realistic At-Home Healthcare (2024)In EICC 2024: European Interdisciplinary Cybersecurity Conference (pp. 186-193). ACM Press. Klein Brinke, J., van der Linden, M. & Havinga, P. J. M.https://doi.org/10.1145/3655693.3660254

2023

Wi-Gitation: Replica Wi-Fi CSI Dataset for Physical Agitation Activity Recognition (2023)Data, 9(1). Article 9. Sharma, N., Brinke, J. K., Jansen, L. M. A. B., Havinga, P. J. M. & Le, D. V.https://doi.org/10.3390/data9010009Utilising Emotion Monitoring for Developing Music Interventions for People with Dementia: A State-of-the-Art Review (2023)Sensors (Switzerland), 23(13). Article 5834. Vuijk, J. G. J., Klein Brinke, J. & Sharma, N.https://doi.org/10.3390/s23135834Channel State Information for Human Activity Recognition with Low Sampling Rates (2023)In UMUM 2023: 2nd Workshop on Ubiquitous and Multi-domain User Modeling (pp. 614-620). Klein Brinke, J., Chiumento, A. & Havinga, P. J. M.https://doi.org/10.1109/PerComWorkshops56833.2023.10150403

2022

Joint Communication and Sensing for Human Activity Recognition in Wi-Fi 6E (2022)[Contribution to conference › Poster] 5th IFIP International Internet of Things Conference, IoT 2022. Klein Brinke, J., Chiumento, A. & Havinga, P. J. M.

Onderzoeksprofielen

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