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Professur Mess- und Sensortechnik
Professur Mess- und Sensortechnik
Professur Mess- und Sensortechnik 
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Raum: Reichenhainer Straße 70, Weinholdbau: W287
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Bilel Ghoul received his B.Sc. degree in Industrial Electronics from the Higher School of Science and Technology in Sousse, Tunisia in 2020 and his M.Sc. degree in Embedded Systems from the National School of Electronics and Telecommunications in Sfax, Tunisia in 2023. He is currently pursuing his Ph.D. at the Chair of Measurement and Sensor Technology at Chemnitz University of Technology. His research interests include signal processing, bio-signal acquisition, and hand gesture recognition. Dipl.-Ing. Bilel is also a member of the IEEE Student Branch in Chemnitz.

Research Topics

  • Hand gesture Recognition based on forearm biosignals: Electrical Impedance Tomography (EIT), Force Myography (FMG), Electromyography (EMG), Impedance, Inertial Measurement Unit (IMU).
  • Implementation of real-time hand movement on embedded devices
  • Data processing in order to optimize the accuracy, execution time, reliability, and segmentation
  • Comparisons of the effectivities of different biosignals for accurate hand gesture recognition

Expertise

Electronic

  • Analog circuit design and simulation (LTSPICE)
  • Embedded system design based on microcontrollers and printed circuit boards.
  • PCB circuit design Altium Designer and KiCad.

Computer Skills

  • Embedded Microcontroller programming (C on STM32, Arduino)
  • Shallow Learning and Deep Learning
Publikationen: 2

2024

Exploring the Real-Time Capability of Electrical Impedance Tomography for Hand Sign Recognition in Robotic Hand Control
Autoren: Ghoul, B.; Ben Atitallah, B.; Barioul, R.; Fakhfakh, A.; Kanoun, O.
Quelle: International Symposium on Robotic and Sensors Environments (ROSE)
| DOI: 10.1109/ROSE62198.2024.10591166
Erscheinungsjahr: 2024
ISBN/ ISSN: Electronic ISBN:979-8-3503-6236-7 ; Print on Demand(PoD) ISBN:979-8-3503-6237-4
Comparative Study of Data Reduction Methods in Electrical Impedance Tomography For Hand Sign Recognition
Autoren: Ghoul, B.; Atitallah, B. B.; Sahnoun, S.; Fakhfakh, A.; Kanoun, O.
Quelle: IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP), 11-13 July 2024, Tunisia, Page(s):654 - 658. - IEEE, 2024
| DOI: 10.1109/atsip62566.2024.10639011
Erscheinungsjahr: 2024
ISBN/ ISSN: Electronic ISBN: 979-8-3503-5148-4 ; Print on Demand(PoD) ISBN: 979-8-3503-5149-1 ; Electronic ISSN: 2687-878X ; Print on Demand(PoD) ISSN: 2641-5941
Conference Papers (peer-reviewed):2