Eintrag in der Universitätsbibliographie der TU Chemnitz
Hellara, Hiba* ; Barioul, Rim ; Sahnoun, Salwa ; Fakhfakh, Ahmed ; Kanoun, Olfa*
Improving the accuracy of hand sign recognition by chaotic swarm algorithm-based feature selection applied to fused surface electromyography and force myography signals
| Universität: | Technische Universität Chemnitz | |
| Förderung: | DFG 416228727 | |
| Institut: | Professur Mess- und Sensortechnik | |
| Dokumentart: | Artikel in Fachzeitschrift, referiert | |
| ISBN/ISSN: | Online ISSN: 1873-6769 ; Print ISSN: 0952-1976 | |
| DOI: | doi:10.1016/j.engappai.2025.110878 | |
| URL/URN: | https://www.sciencedirect.com/science/article/pii/S0952197625008784 | |
| Quelle: | In: Engineering Applications of Artificial Intelligence. - Elsevier BV. - 154. 2025, 110878 | |
| Freie Schlagwörter (Englisch): | American sign language classification , Chaotic maps , Feature selection wrappers , Force myography , Multi-subject , Surface electromyography , Chaotic salp swarm algorithms , Sensor fusion | |
| OA-Lizenz | CC BY 4.0 |
