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Telefon: | |
Raum: | Reichenhainer Straße 70, Weinholdbau: W287 |
E-Mail: | bilel.ghoul@… |
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: 4
2025
2 Publications2024
2 Publications
2025
2 Publications
Reducing Injections in Low-Power Electrical Impedance Tomography for Hand Sign Recognition
Autoren: Ghoul, B.; Barioul, R.; Hafsa, M.; Sahnoun, S.; Fakhfakh, A.; Kanoun, O.
Quelle: 2024 International Workshop on Impedance Spectroscopy (IWIS), 24-27 September 2024, pp. 118-122. - Chemnitz. - IEEE, 2025 | DOI: 10.1109/iwis63047.2024.10847228
Autoren: Ghoul, B.; Barioul, R.; Hafsa, M.; Sahnoun, S.; Fakhfakh, A.; Kanoun, O.
Quelle: 2024 International Workshop on Impedance Spectroscopy (IWIS), 24-27 September 2024, pp. 118-122. - Chemnitz. - IEEE, 2025 | DOI: 10.1109/iwis63047.2024.10847228
Hybrid Solution Through Systematic Electrical Impedance Tomography Data Reduction and CNN Compression for Efficient Hand Gesture Recognition on Resource-Constrained IoT Devices
Autoren: Sahnoun, S.; Mnif, M.; Ghoul, B.; Jemal, M.; Fakhfakh, A.; Kanoun, O.
Quelle: In: Future Internet. - MDPI. - 17. 2025, 2, 89 | DOI: 10.3390/fi17020089
Autoren: Sahnoun, S.; Mnif, M.; Ghoul, B.; Jemal, M.; Fakhfakh, A.; Kanoun, O.
Quelle: In: Future Internet. - MDPI. - 17. 2025, 2, 89 | DOI: 10.3390/fi17020089
2024
2 Publications
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
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
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
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
Journal Articles (peer-reviewed): | 1 |
Conference Papers (peer-reviewed): | 3 |