dr.ir. J. Klein Brinke (Jeroen)

Assistant Professor
EEMCS-CS-PS
Zilverling 5010
j.kleinbrinke@utwente.nl
+31534896434
Business card

Jeroen Klein Brinke finished his B.Sc in Technical Computer Science at the University of Twente (part of the first wave of TOM students) in 2016 with research being done in wireless sensor networks (flexible sensors in sports applications). In 2018, he received his M.Sc. (cum laude) in Technical Computer Science (specialization: Wireless and Sensor Systems) with research in deep learning and device-free sensing. In June 2024, he successfully defended his PhD dissertation entitled "Interwoven Waves: Enhancing the Scalability and Robustness of Wi-Fi Channel State Information for Human Activity Recognition" (link) at the University of Twente.

His research focuses on progressing joint communication and sensing in Wi-Fi applications for human health-care (and beyond), by actively doing research into channel state informaton-based device-free sensing in human activity recognition for health care, but areas of interest also include animal monitoring and smart cities. Current research focuses on employing WiFi 6E (and the new 6 GHz frequency) and many realistically-placed IoT devices, over specifically placed and less scalable solutions (in order to reduce future e-waste from niche solutions). Other areas include exploring, adapting, and implementing input-agnostic and scalable solutions in real-life settings for channel state information using deep and federated learning. Additionally, he is also actively increasing his knowledge in antenna design and radio-wave/signal propagation in general.

Starting September 2023, he started as the coordinator for M2 Creative Technology (Smart Environments), lectured the core of Smart Environments, and supervised the Project of M2 at the Vrije Universiteit Amsterdam in a collaboration between the UT and VU. From July 2024, he is an assistant professor at Pervasive Systems (EEMCS) in Joint Communication and Sensing and will facilitate M8 Creative Technology (VU). 

Between 2019 and 2022, he was actively involved in his old Bachelor programme, B-TCS, as a mentor (the Housekeeper initiative) for first-year students and participating as a lecturer and supervisor in multiple BSc courses, functioning as the Head of Housekeepers between 2020-2022. Since 2019, he also actively organizes the M.Sc. course Pervasive Computing, formally known as Ubiquitous Computing, at the University of Twente.

Expertise

  • Computer Science

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

  • Earth and Planetary Sciences

    • State
    • Recognition
    • Human Activity

Organisations

Publications

2024
Interwoven Waves: Enhancing the Scalability and Robustness of Wi-Fi Channel State Information for Human Activity Recognition. 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 HealthcareIn 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, 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, 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 RatesIn 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, 1-5. Klein Brinke, J., Chiumento, A. & Havinga, P. J. M.
2021
Implementation of Unobtrusive Sensing Systems for Older Adult Care: Scoping Review, Article e27862. Sharma, N., Klein Brinke, J., van Gemert-Pijnen, L. J. E. W. C. & Jansen, L.https://doi.org/10.2196/27862

Research profiles

Address

University of Twente

Zilverling (building no. 11), room 5010
Hallenweg 19
7522 NH Enschede
Netherlands

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