跳到主要导航
跳到搜索
跳到主要内容
Pure University (For Demo Only) 国内
帮助和常见问题
English
中文
国内
简介
研究单位
科研成果
设备
数据集
活动
奖项
影响
项目
新闻 / 媒体
按专业知识、名称或附属进行搜索
Combining features for Chinese sign language recognition with Kinect
Lubo Geng, Xin Ma, Bingxia Xue, Hanbo Wu,
Jason Gu
, Yibin Li
Chemistry
科研成果
:
图书/报告稿件的类型
›
会议稿件
23
引用 (Scopus)
综述
指纹
指纹
探究 'Combining features for Chinese sign language recognition with Kinect' 的科研主题。它们共同构成独一无二的指纹。
分类
加权
按字母排序
Keyphrases
Feature Representation
100%
3D Trajectory
100%
Elbow
100%
Feature Combination
100%
Kinect
100%
Chinese Sign Language Recognition
100%
Three-dimensional (3D)
50%
Depth Data
50%
Support Vector Machine
50%
Kinematics
50%
Wrist
50%
Feature-based
50%
Trajectory Data
50%
Coordinate Features
50%
Illumination Change
50%
Hand-wrist
50%
Skeleton Joints
50%
Recognition Performance
50%
Spherical Coordinate System
50%
Location Coordinates
50%
Spherical Coordinates
50%
Cluttered Background
50%
Kinect Depth
50%
Feature Vector
50%
Sign Language Recognition
50%
Extreme Learning Machine
50%
Chinese Sign Language
50%
Computer Science
Sign Language Recognition
100%
Spherical Coordinate
100%
Support Vector Machine
50%
Trajectory Data
50%
Recognition Performance
50%
Coordinate System
50%
Feature Vector
50%
Extreme Learning Machine
50%