Executive Board
Project Leader
Spokesperson
Project
Organization
Professorship of Measurement and Sensor Technology
University
TU Chemnitz
Address
Reichenhainer Straße 70
09126 Chemnitz
Prof. Dr. Olfa Kanoun
Publications
Ghoul, B., Atitallah, B. B., Barioul, R., Fakhfakh, A., & Kanoun, O. (2024). Exploring the Real-Time Capability of Electrical Impedance Tomography for Hand Sign Recognition in Robotic Hand Control. 2024 IEEE International Symposium on Robotic and Sensors Environments (ROSE), 1-6. https://doi.org/10.1109/ROSE62198.2024.10591166
Ghoul, B., Atitallah, B. B., Sahnoun, S., Fakhfakh, A., & Kanoun, O. (2024). Comparative Study of Data Reduction Methods in Electrical Impedance Tomography For Hand Sign Recognition. 2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP), 1, 654–658. https://doi.org/10.1109/ATSIP62566.2024.10639011
Hellara, H., Barioul, R., Sahnoun, S., Fakhfakh, A., & Kanoun, O. (2024). Comparative Study of sEMG Feature Evaluation Methods Based on the Hand Gesture Classification Performance. Sensors, 24(11). https://doi.org/10.3390/s24113638
Medhioub, M., Bouhamed, S. A., Kallel, I. K., Derbel, N., & Kanoun, O. (2024). Optimal feature subset deduction based on possibilistic feature quality classification and feature complementarity. Expert Systems With Applications, 249, 123353. https://doi.org/10.1016/j.eswa.2024.123353
Mnif, M., Sahnoun, S., Kaaniche, M., Atitallah, B. B., Fakhfakh, A., & Kanoun, O. (2024). Ultra-Fast Edge Computing Approach for Hand Gesture Classification Based on EIT Measurements. 2024 IEEE International Symposium on Robotic and Sensors Environments (ROSE), 1-7. https://doi.org/10.1109/ROSE62198.2024.10591116
Al-Hammouri, S., Barioul, R., Lweesy, K., Ibbini, M., & Kanoun, O. (2023). (in press). Feature Selection for Hand Gesture Recognition using Six FSR Sensors Bracelet. In B. Meyer, U. Thomas, … O. Kanoun (Eds.), Hybrid Societies - Humans Interacting with Embodied Technologies.
Barioul, R., & Kanoun, O. (2023). k-Tournament Grasshopper Extreme Learner for FMG-Based Gesture Recognition. Sensors, 23(3). https://doi.org/10.3390/s23031096
Kretzschmar, F., Uhlig, D., Pichler, A., Kanoun, O., & Barioul, R. (2023). (in press). Nadaraya-Watson Time Series Early Classification for Gesture Recognition. In B. Meyer, U. Thomas, … O. Kanoun (Eds.), Hybrid Societies - Humans Interacting with Embodied Technologies.
Meyer, B., Kanoun, O., Sanseverino, G., Müller, M., Pentzold, C., Bischof, A., & Hamker, F. (2023). (in press). Hybrid societies: Concepts, challenges, and research agenda. In B. Meyer, U. Thomas, … O. Kanoun (Eds.), Hybrid Societies - Humans Interacting with Embodied Technologies.
Ramalingame, R., Atitallah, B. B., & Kanoun, O. (2023). (in press). A preliminary evaluation of a body-attached multisensor measurement framework for hand gesture recognition. In B. Meyer, U. Thomas, … O. Kanoun (Eds.), Hybrid Societies - Humans Interacting with Embodied Technologies.
Sanseverino, G., Krumm, D., Ramalingame, R., Malani, C., Barioul, R., Kanoun, O., & Odenwald, S. (2023). (in press). Understanding the Capabilities of FMG and EMG Sensors in Recognizing Basic Gesture Components. In B. Meyer, U. Thomas, … O. Kanoun (Eds.), Hybrid Societies - Humans Interacting with Embodied Technologies.
Barioul, R., Madan Raju, R., Varghese, S., & Kanoun, O. (2022). Random Walk Binary Grey Wolf Optimization for feature selection in sEMG based hand gesture recognition. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853687
Bautista-Quijano, Roberto, J., Ghrairi, K., Ben Atitallah, B., & Kanoun, O. (2022). Investigation and Implementation of Elastomer Filament Strain Sensors for Monitoring of Hand Gestures. 2021 International Workshop on Impedance Spectroscopy, 97–98. https://doi.org/10.1109/IWIS54661.2021.9711913
Ben Atitallah, B., Hu, Z., Bouchaala, D., Hussain, M. A., Ismail, A., Derbel, N., & Kanoun, O. (2022). Hand Sign Recognition System Based on EIT Imaging and Robust CNN Classification. IEEE Sensors Journal, 22(22). https://doi.org/10.1109/JSEN.2021.3130982
Djemal, A., Hellara, H., Barioul, R., Ben Atitallah, B., Ramalingame, R., Fricke, E., & Kanoun, O. (2022). Real-Time Model for Dynamic Hand Gestures Classification based on Inertial Sensor. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853648
Gäbert, C., Djemal, A., Hellara, H., Atitallah, B. B., Ramalingame, R., Barioul, R., Salzseiler, D., Fricke, E., Kanoun, O., & Thomas, U. (2022). Gesture Based Symbiotic Robot Programming for Agile Production. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853686
Hafsa, M., Atitallah, B. B., Ben Salah, T., Essoukri Ben Amara, N., & Kanoun, O. (2022). Hand Gesture Recognition based on Electrical Impedance Tomography Measurements using Genetic Algorithms. 2021 International Workshop on Impedance Spectroscopy, 123–125. https://doi.org/10.1109/IWIS54661.2021.9711814
Hafsa, M., Ben Atitallah, B., Ben Salah, T., Essoukri Ben Amara, N., & Kanoun, O. (2022). A Genetic Algorithm for Image Reconstruction in Electrical Impedance Tomography for Gesture Recognition. Technisches Messen, 89(5). https://doi.org/10.1515/teme-2021-0126
Hellara, H., Barioul, R., Choura, A., Sahnoun, S., Fakhfakh, A., Bouchaala, D., Deriche, M., & Kanoun, O. (2022). sEMG Features Selection by a Chaotic Salp Swarm Algorithm for Hand Gestures Classification. 2022 19th International Multi-Conference on Systems, Signals & Devices (SSD). https://doi.org/10.1109/SSD54932.2022.9955800
Hellara, H., Djemal, A., Barioul, R., Ramalingame, R., Ben Atitallah, B., Fricke, E., & Kanoun, O. (2022). Classification of Dynamic Hand Gestures using Multi Sensors Combinations. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853694
Liu, C., Ben Atitallah, B., Ramalingame, R., Barioul, R., Djemal, A., Hellara, H., & Kanoun, O. (2022). A Hybrid Measurement System for Hand Signs Recognition based on EMG-FMG Measurements. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853644
Munjal, R., Arif, S., Wendler, F., & Kanoun, O. (2022). Comparative Study of Machine-Learning Frameworks for the Elaboration of Feed-Forward Neural Networks by Varying the Complexity of Impedimetric Datasets Synthesized Using Eddy Current Sensors for the Characterization of Bi-Metallic Coins. Sensors, 4(22). https://doi.org/10.3390/s22041312
Al-Hammouri, S., Barioul, R., Lweesy, K., Ibbini, M., & Kanoun, O. (2021). Six Sensors Bracelet for Force Myography based American Sign Language Recognition. 2021 18th International Multi-Conference on Systems, Signals & Devices, 835–839. https://doi.org/10.1109/SSD52085.2021.9429399
Atitallah, B. B., Rajendran, D., Hu, Z., Ramalingame, R., Bautista Quijano, J. R., da Veiga Torres, R., Bouchaala, D., Derbel, N., & Kanoun, O. (2021). Piezo-Resistive Pressure and Strain Sensors for Biomedical and Tele-Manipulation Applications. In O. Kanoun … N. Derbel (Eds.), Advanced Sensors for Biomedical Applications. Smart Sensors, Measurement and Instrumentation (Vols. 38, pp. 47–65). Cham: Springer. https://doi.org/10.1007/978-3-030-71225-9_3
Atitallah, B. B., Rajendran, D., Ramalingame, R., Bautista Quijano, J. R., & Kanoun, O. (2021). Ultra Thin Nanocomposite In-Sole Pressure Sensor Matrix for Gait Analysis. Smart Sensors, Measurement and Instrumentation, 33-45. https://doi.org/10.3390/s21186082
Hellara, H., Barioul, R., Sahnoun, S., Ahmed, F., & Kanoun, O. (2021). Comparative of Swarm Intelligence based Wrappers for sEMG Signals Feature Selection. 2021 18th IEEE SSD International Multi-Conference on Systems, Signals and Devices, 829-834. https://doi.org/10.1109/SSD52085.2021.9429511
Kanoun, O., Bouhamed, A., Ramalingame, R., Bautista-Quijano, J. R., Rajendran, D., & Al-Hamry, A. (2021). Review on Conductive Polymer/CNTs Nanocomposites Based Flexible and Stretchable Strain and Pressure Sensors. Sensors, 21(2). https://doi.org/10.3390/s21020341
Rajendran, D., Ben Atitallah, B., Ramalingame, R., Quijano Jose, R., & Kanoun, O. (2021). Ultra Thin Nanocomposite In-Sole Pressure Sensor Matrix for Gait Analysis. In O. Kanoun … N. Derbel (Eds.), Advanced Sensors for Biomedical Applications. Smart Sensors, Measurement and Instrumentation (Vols. 38, pp. 33–45). Cham: Springer. https://doi.org/10.1007/978-3-030-71225-9_2
Rajendran, D., Ramalingame, R., Palaniyappan, S., Wagner, G., & Kanoun, O. (2021). Flexible Ultra-Thin Nanocomposite Based Piezoresistive Pressure Sensors for Foot Pressure Distribution Measurement. Sensors, 21(18). https://doi.org/10.3390/s21186082
Ramalingame, R., Barioul, R., Li, X., Sanseverino, G., Krumm, D., Odenwald, S., & Kanoun, O. (2021). Wearable Smart Band for American Sign Language Recognition with Polymer Carbon Nanocomposite-based Pressure Sensors. IEEE Sensors Letters, 5(6). https://doi.org/10.1109/LSENS.2021.3081689