Selection of sEMG-based Configuration for a Hand Gesture Recognition System
Use este enlace para citar
http://hdl.handle.net/2183/39128Coleccións
Metadatos
Mostrar o rexistro completo do ítemTítulo
Selection of sEMG-based Configuration for a Hand Gesture Recognition SystemAutor(es)
Data
2024-08Cita bibliográfica
Vázquez-Araujo, F. J., Dapena, A., Laport F. et al. Selection of sEMG-based Configuration for a Hand Gesture Recognition System. Proceeeing of 32nd European Signal Processing Conference EUSIPCO 2024, 2024, 1641-1645. https://eurasip.org/Proceedings/Eusipco/Eusipco2024/pdfs/0001641.pdf
Resumo
[Abstract]: In recent decades, extensive research has been
conducted on the analysis of Electromyography (EMG) signals,
aiming to establish a novel communication pathway that utilizes
the electrical activity generated by muscle contractions to control
external devices. However, determining the optimal configuration
for such systems in a given scenario remains as a challenging
task. The challenges arise from two main factors: the growing
number of available feature extraction methods and classification
algorithms, and the necessity of designing control systems that
prioritize user comfort, with considerations such as a reduced
number of electrodes and fast reaction times. In this paper we
propose a method to determine the most suitable configuration
for an EMG system by considering three crucial parameters
in control systems: reaction time, accuracy, and the required
number of channels.
Palabras chave
Control systems
Electromyography
Hand gestures
Electromyography
Hand gestures
Versión do editor
ISBN
978-9-4645-9361-7