Eintrag in der Universitätsbibliographie der TU Chemnitz
Liu, Chi ; Ben Atitallah, Bilel ; Ramalingame, Rajarajan ; Barioul, Rim ; Djemal, Achraf ; Hellara, Hiba ; Kanoun, Olfa
A Hybrid Measurement System for Hand Signs Recognition based on EMG-FMG Measurements
| Universität: | Technische Universität Chemnitz | |
| Institut: | Professur Mess- und Sensortechnik | |
| Dokumentart: | Konferenzbeitrag, referiert | |
| ISBN/ISSN: | Electronic ISBN:978-1-6654-3445-4 ; Print on Demand(PoD) ISBN:978-1-6654-3446-1 ; Electronic ISSN: 2377-9322 Print on Demand(PoD) ; ISSN: 2377-9314 | |
| DOI: | doi:10.1109/civemsa53371.2022.9853644 | |
| URL/URN: | https://ieeexplore.ieee.org/document/9853644 | |
| Quelle: | 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 15-17 June 2022, Chemnitz, Germany, pp. 1-6. - IEEE, 2022 | |
| Freie Schlagwörter (Englisch): | biomechanics , electromyography , gesture recognition , learning (artificial intelligence) , medical robotics , medical signal processing , muscle , nanocomposites , patient rehabilitation , pressure sensors , signal classification , support vector machines |
