Código QR (código de barras bidimensional)

SeNic: An Open Source Dataset for sEMG-Based Gesture Recognition in Non-Ideal Conditions

In order to reduce the gap between the laboratory environment and actual use in daily life of human-machine interaction based on surface electromyogram (sEMG) intent recognition, this paper presents a benchmark dataset of sEMG in non-ideal conditions (<italic>SeNic</italic>). The dataset mainly cons...

Fuld beskrivelse

Na minha lista:
Principais autores: Bo Zhu, Daohui Zhang, Yaqi Chu, Yalun Gu, Xingang Zhao
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2022-01-01
Serier:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Fag:
Surface electromyogram (sEMG)
benchmark dataset
gesture recognition
non-ideal conditions
Online adgang:https://ieeexplore.ieee.org/document/9771219/
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!

Lignende værker