LSTM Network Classification of Dexterous Individual Finger Movements

LSTM Network Classification of Dexterous Individual Finger Movements

Electrical activity is generated in the forearm muscles during muscular contractions that control dexterous movements of a human finger and thumb. Using this electrical activity as an input to train a neural network for the purposes of classifying finger movements is not straightforward. Low cost we...

Full description

Bibliographic Details
Main Authors: Kerr, E. (Author), Millar, C. (Author), Siddique, N. (Author)
Format: Article
Language:English
Published: Fuji Technology Press 2022
Subjects:
Electrical activities
finger movement classification
Finger movement classification
Finger movements
Human fingers
Long short-term memory
LSTM
Muscular contraction
Network classification
Neural-networks
Sampling rates
sEMG
SEMG
Wearable sensors
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items