Rajarajan Ramalingame

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

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

Kanoun, O., Bouhamed, A., Nasraoui, S., Al-Hamry, A., Brahem, A., Lakshmanan, A., & Ramalingame, R. (2022). Potential of flexible and highly sensitive sensors based on polymer-carbon-nanomaterials composites: Towards a new generation of sensors. Tm - Technisches Messen, 89(12). https://doi.org/10.1515/teme-2022-0071

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

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

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://www.springerprofessional.de/ultra-thin-nanocomposite-in-sole-pressure-sensor-matrix-for-gait/19252490

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