Vázquez Araújo, Francisco JavierDapena, AdrianaLaport, FranciscoCastro-Castro, Paula-MaríaIglesia, Daniel I.2024-09-192024-09-192024-08Vázquez-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.pdf978-9-4645-9361-7http://hdl.handle.net/2183/39128[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.engControl systemsElectromyographyHand gesturesconference outputopen access