Details

Autor(en) / Beteiligte

• Vimos, Victor H.
• Valdivieso Caraguay, Ángel Leonardo
• Barona López, Lorena Isabel
• Pozo Espín, David
• Benalcázar, Marco E.
• Díaz Cadena, Angela
• Botto-Tobar, Miguel
• Rosero Miranda, Raul
• Luna-Encalada, Washington
• Montes León, Sergio
• S. Gómez, Omar

Titel

An Interface for Audio Control Using Gesture Recognition and IMU Data

Ist Teil von

• Trends in Artificial Intelligence and Computer Engineering, p.168-180

Ort / Verlag

Cham: Springer International Publishing

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Hand Gesture Recognition systems using electromyography sensors in conjunction with data from inertial measurement units are currently largely used for musical interfaces. However, bracelets are susceptible to displacements causing a decrease in the accuracy when they are used in such applications. In this study, a hand gesture recognition model applied to a musical interface has been tested using two different commercial armbands, Myo and GForce. Both armbands use the same pre-trained gesture recognition model and same hand gestures are recognized. We evaluate the robustness of the pre-trained model and the reached accuracy correcting the displacement of the sensors. The test performed to evaluate the system shows a classification accuracy of 94.33% and 90.70% respectively considering the same pre-trained model. The accuracy results obtained with both sensors are similar which evidences the robustness of the tested model and the importance of correcting the displacements.