Eintrag in der Universitätsbibliographie der TU Chemnitz
Ghoul, Bilel* ; Barioul, Rim ; Sahnoun, Salwa ; Fakhfakh, Ahmed ; Kanoun, Olfa
Feature Engineering for Accurate Low-Power Electrical Impedance Tomography in Hand Sign Recognition
| Universität: | Technische Universität Chemnitz | |
| Institut: | Professur Mess- und Sensortechnik | |
| Dokumentart: | Konferenzbeitrag, referiert | |
| ISBN/ISSN: | Electronic ISBN: 979-8-3315-4272-6 ; Print on Demand(PoD) ISBN: 979-8-3315-4273-3 ; Electronic ISSN: 2474-0446 ; Print on Demand(PoD) ISSN: 2474-0438 | |
| DOI: | doi:10.1109/ssd64182.2025.10989980 | |
| Quelle: | 2025 IEEE 22nd International Multi-Conference on Systems, Signals & Devices (SSD), 17-20 February 2025, Monastir Tunisia, pp. 709-714. - IEEE, 2025 | |
| Freie Schlagwörter (Englisch): | Electrical Impedance Tomography , EIT , Hand Sign Recognition , HSR , Feature Engineering , Fea- ture Importance , FI , k-Nearest Neighbour , kNN |
