Neuromechanical Signal-Based Parallel and Scalable Model for Lower Limb Movement Recognition

Individual who have lost their lower limb because of amputation can use the prosthesis to restore daily living activities. The amputee intent recognition during locomotion modes can be used as source to control lower limb prosthesis. Due to continuous data recording from multiple sensors, the timely...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE sensors journal Jg. 21; H. 14; S. 16213 - 16221
Hauptverfasser:	Iqbal, Nadeem, Khan, Tufail, Khan, Mukhtaj, Hussain, Tahir, Hameed, Tahir, Bukhari, Syed Ahmad Chan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 15.07.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Accuracy Activity recognition Algorithms Amputation Bilateral sensors fusion Computational modeling Computer networks Data recording Decision trees Distributed processing Exoskeletons IMU Locomotion Machine learning Motion perception neuromechanical sensors Performance evaluation Performance measurement Prostheses Recognition Robots sEMG Sensors Sparks support vector machine Support vector machines Training
ISSN:	1530-437X, 1558-1748
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!