Feature Selection Using Genetic Algorithms for Hand Posture Recognition

Uriel H. Hernandez-Belmonte; Víctor Ayala-Ramírez

doi:10.1007/978-3-319-39393-3_21

ScienceGate Book Chapters

BOOK-CHAPTER

Feature Selection Using Genetic Algorithms for Hand Posture Recognition

Uriel H. Hernandez-Belmonte Víctor Ayala-Ramírez

Year: 2016 Lecture notes in computer science Pages: 208-218 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-39393-3_21

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Artificial intelligence Classifier (UML) Pattern recognition (psychology) Feature selection Gesture recognition Feature extraction Gesture AdaBoost Cognitive neuroscience of visual object recognition Machine learning Computer vision

Metrics

Cited By

0.44

FWCI (Field Weighted Citation Impact)

Refs

0.48

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

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Robotics and Automated Systems

Physical Sciences → Engineering → Control and Systems Engineering

Feature Selection Using Genetic Algorithms for Hand Posture Recognition

Metrics

Citation History

Topics

Related Documents

Feature Selection for Pattern Recognition using Genetic Algorithms

Feature selection for physical activity recognition using genetic algorithms

Sanda posture recognition using feature extraction algorithms

Feature Selection using Genetic Algorithms

Feature selection for optimized skin tumor recognition using genetic algorithms