Por favor, use este identificador para citar o enlazar este ítem: https://repositorio.cetys.mx/handle/60000/877
Título : Automatic leg gesture recognition based on portable electromyography readers
Autor : López-Leyva, Josué Aarón
Mejía González, Efraín Atenógenes
Estrada Lechuga, Jessica
Ramos García, V.M.
Otros Autores: CETYS Universidad
Palabras clave : Discriminant analysis;Temporal features;Gestures recognition
Sede: Sistemas
Fecha de publicación : nov-2019
Resumen : In this paper, recognition of leg gestures is performed using Linear Discriminant Analysis in order to propose a real application for prosthetic leg considering transfemoral amputee. As results, the confusion matrix shows the performance of the algorithm, where the Class #1 and #3 were the best classes classified (sensitivity is 100%), and Class #2 was the worst classified (sensitivity is 67%). In addition, the probability that the classifier ranks a randomly chosen positive instance higher than a randomly chosen negative for Class #2 and #4 is the same, AUC =0.94, and AUC =1 for Class #1 and #3. Although the hardware and algorithm used have adequate performance, the optimization and improve the real testing conditions are important requirements for real human applications.
Descripción : Scopus
metadata.dc.description.url: DOI: 10.1109/ICMEAE.2019.00008
URI : https://repositorio.cetys.mx/handle/60000/877
ISBN : 978-1-7281-6037-5
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