A comparative analysis of three non-invasive human-machine interfaces for the disabled.
about
Optical Myography: Detecting Finger Movements by Looking at the Forearm.Force Myography to Control Robotic Upper Extremity Prostheses: A Feasibility Study.Assessment of a Wearable Force- and Electromyography Device and Comparison of the Related Signals for Myocontrol.Hybrid EEG-fNIRS-Based Eight-Command Decoding for BCI: Application to Quadcopter ControlHybrid Brain-Computer Interface Techniques for Improved Classification Accuracy and Increased Number of Commands: A ReviewProportional estimation of finger movements from high-density surface electromyography.Improving the Robustness of Electromyogram-Pattern Recognition for Prosthetic Control by a Postprocessing StrategyCounting Grasping Action Using Force Myography: An Exploratory Study With Healthy Individuals
P2860
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P2860
A comparative analysis of three non-invasive human-machine interfaces for the disabled.
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
2014年论文
@zh
2014年论文
@zh-cn
name
A comparative analysis of three non-invasive human-machine interfaces for the disabled.
@en
A comparative analysis of three non-invasive human-machine interfaces for the disabled.
@nl
type
label
A comparative analysis of three non-invasive human-machine interfaces for the disabled.
@en
A comparative analysis of three non-invasive human-machine interfaces for the disabled.
@nl
prefLabel
A comparative analysis of three non-invasive human-machine interfaces for the disabled.
@en
A comparative analysis of three non-invasive human-machine interfaces for the disabled.
@nl
P2860
P356
P1476
A comparative analysis of three non-invasive human-machine interfaces for the disabled.
@en
P2093
Vikram Ravindra
P2860
P356
10.3389/FNBOT.2014.00024
P577
2014-10-27T00:00:00Z