Multi-feature fusion gesture recognition based on deep convolutional neural network

贠卫国 YUN Wei-guo; 史其琦 SHI Qi-qi; 王民 Wang Min

doi:10.3788/yjyxs20193404.0417

ScienceGate Book Chapters

JOURNAL ARTICLE

Multi-feature fusion gesture recognition based on deep convolutional neural network

贠卫国 YUN Wei-guo 史其琦 SHI Qi-qi 王民 Wang Min

Year: 2019 Journal: Chinese Journal of Liquid Crystals and Displays Vol: 34 (4)Pages: 417-422 Publisher: Science Press

DOI: 10.3788/yjyxs20193404.0417

Get Full-Text PDF Get Analytical Report

Keywords:

Convolutional neural network Computer science Artificial intelligence Pattern recognition (psychology) Feature (linguistics) Fusion Deep learning Gesture recognition Gesture Speech recognition

Metrics

Cited By

0.18

FWCI (Field Weighted Citation Impact)

Refs

0.49

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Hand Gesture Recognition Systems

Physical Sciences → Computer Science → Human-Computer Interaction

Gait Recognition and Analysis

Physical Sciences → Engineering → Biomedical Engineering

Educational Technology and Pedagogy

Physical Sciences → Computer Science → Artificial Intelligence

Multi-feature fusion gesture recognition based on deep convolutional neural network

Metrics

Citation History

Topics

Related Documents

Dynamic gesture recognition based on 2D convolutional neural network and feature fusion

Gesture Recognition based on Deep Convolutional Neural Network

Improve Inter-day Hand Gesture Recognition Via Convolutional Neural Network-based Feature Fusion

A Convolutional Neural Network With Multi-scale Kernel and Feature Fusion for sEMG-based Gesture Recognition

Hand Gesture Recognition Based on Multi-column Deep 3D Convolutional Neural Network