Gestures recognition based on wavelet and LLE. - Wikidata - awgldk - TriplyDB

Gestures recognition based on wavelet and LLE.

Gestures recognition based on wavelet and LLE.

http://www.wikidata.org/entity/Q46895170

about

Rehabilitation assessment for lower limb disability based on multi-disciplinary approaches.Disturbance-Estimated Adaptive Backstepping Sliding Mode Control of a Pneumatic Muscles-Driven Ankle Rehabilitation Robot.

P2860

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P2860

Gestures recognition based on wavelet and LLE.

http://www.wikidata.org/entity/Q46895170

description

2013 nî lūn-bûn

@nan

2013年の論文

@ja

2013年学术文章

@wuu

2013年学术文章

@zh

2013年学术文章

@zh-cn

2013年学术文章

@zh-hans

2013年学术文章

@zh-my

2013年学术文章

@zh-sg

2013年學術文章

@yue

2013年學術文章

@zh-hant

name

Gestures recognition based on wavelet and LLE.

@en

Gestures recognition based on wavelet and LLE.

@nl

type

label

Gestures recognition based on wavelet and LLE.

@en

Gestures recognition based on wavelet and LLE.

@nl

prefLabel

Gestures recognition based on wavelet and LLE.

@en

Gestures recognition based on wavelet and LLE.

@nl

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S13246-013-0191-3

P1433

Australasian Physical and Engineering Sciences in Medicine

P1476

Gestures recognition based on wavelet and LLE.

@en

P2093

Qingsong Ai

http://www.w3.org/2001/XMLSchema#string

Quan Liu

http://www.w3.org/2001/XMLSchema#string

Tingting Yuan

http://www.w3.org/2001/XMLSchema#string

Ying Lu

http://www.w3.org/2001/XMLSchema#string

P2860

A real-time EMG pattern recognition system based on linear-nonlinear feature projection for a multifunction myoelectric hand.

Time-frequency analysis of myoelectric signals during dynamic contractions: a comparative study.

A new strategy for multifunction myoelectric control.

A discriminant bispectrum feature for surface electromyogram signal classification.

A Gaussian mixture model based classification scheme for myoelectric control of powered upper limb prostheses.

Time-frequency analysis of SEMG--with special consideration to the interelectrode spacing.

Twin SVM for gesture classification using the surface electromyogram.

P2888

s13246-013-0191-3

P304

167-176

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scholarly article

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10.1007/S13246-013-0191-3

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P433

2

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P478

36

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P577

2013-03-20T00:00:00Z

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P698

23512298

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