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,...

Cijeli opis

Spremljeno u:
Bibliografski detalji
Glavni autori: Soheil Zabihi (Autor), Elahe Rahimian (Autor), Amir Asif (Autor), Arash Mohammadi (Autor)
Format: Knjiga
Izdano: IEEE, 2023-01-01T00:00:00Z.
Teme:
Online pristup:Connect to this object online.
Oznake: Dodaj oznaku
Bez oznaka, Budi prvi tko označuje ovaj zapis!

Internet

Connect to this object online.

3rd Floor Main Library

Detalji primjeraka od 3rd Floor Main Library
Signatura: A1234.567
Primjerak 1 Dostupno