TraHGR: Transformer for Hand Gesture Recognition via Electromyography

Deep learning-based Hand Gesture Recognition (HGR) via surface Electromyogram (sEMG) signals have recently shown considerable potential for development of advanced myoelectric-controlled prosthesis. Although deep learning techniques can improve HGR accuracy compared to their classical counterparts,...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Soheil Zabihi (Egilea), Elahe Rahimian (Egilea), Amir Asif (Egilea), Arash Mohammadi (Egilea)
Formatua: Liburua
Argitaratua: IEEE, 2023-01-01T00:00:00Z.
Gaiak:
Sarrera elektronikoa:Connect to this object online.
Etiketak: Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

Internet

Connect to this object online.

3rd Floor Main Library

Aleari buruzko argibideak 3rd Floor Main Library
Sailkapena: A1234.567
Alea 1 Eskuragarri