Paper Info
Title
Abstract Decoding using Bayesian Muscle Activation Estimators.
Abstract
Two recursive Bayesian muscle activation estimators were compared against standard linear filtering during use of a myoelectric abstract decoder. The decoder was controlled by intrinsic muscles of the hand. In both experiments the linear filter outperformed the Bayesian methods in terms of general score. The Bayesian muscle decoders were faster to respond to changes in muscle activity and show promise for significantly enhancing overall decoder communication rate.
Year
DOI
Venue
2018
10.1109/EMBC.2018.8512663
EMBC
Field
DocType
Volume
Muscle activity,Computer vision,Linear filter,Computer science,Algorithm,Electromyography,Muscle activation,Artificial intelligence,Decoding methods,Recursion,Bayesian probability,Estimator
Conference
2018
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Matthew Dyson102.70
Kianoush Nazarpour27519.08