Sign language recognition using intrinsic-mode sample entropy on sEMG and accelerometer data.
about
Random Forest-Based Recognition of Isolated Sign Language Subwords Using Data from Accelerometers and Surface Electromyographic SensorsIntrinsic mode entropy based on multivariate empirical mode decomposition and its application to neural data analysisA Novel Phonology- and Radical-Coded Chinese Sign Language Recognition Framework Using Accelerometer and Surface Electromyography SensorsMotor Function Evaluation of Hemiplegic Upper-Extremities Using Data Fusion from Wearable Inertial and Surface EMG Sensors.A Component-Based Vocabulary-Extensible Sign Language Gesture Recognition Framework.Multiscale entropy analysis of different spontaneous motor unit discharge patterns.Myoelectric pattern identification of stroke survivors using multivariate empirical mode decomposition.
P2860
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P2860
Sign language recognition using intrinsic-mode sample entropy on sEMG and accelerometer data.
description
2009 nî lūn-bûn
@nan
2009 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Sign language recognition usin ...... n sEMG and accelerometer data.
@ast
Sign language recognition usin ...... n sEMG and accelerometer data.
@en
type
label
Sign language recognition usin ...... n sEMG and accelerometer data.
@ast
Sign language recognition usin ...... n sEMG and accelerometer data.
@en
prefLabel
Sign language recognition usin ...... n sEMG and accelerometer data.
@ast
Sign language recognition usin ...... n sEMG and accelerometer data.
@en
P1476
Sign language recognition usin ...... n sEMG and accelerometer data.
@en
P2093
Vasiliki E Kosmidou
P304
P356
10.1109/TBME.2009.2013200
P577
2009-01-23T00:00:00Z