Study on Hand Gesture Recognition and Portfolio Optimization Model Based on SVM

Authors

Zhiwei Cai, College of Engineering and Design, Lishui University, Lishui 323000, China;
Shuyan Wu, College of Engineering and Design, Lishui University, Lishui 323000, China;
Junfeng Song, College of Engineering and Design, Lishui University, Lishui 323000, China;

Abstract

Abstract: Hand gesture recognition was researched. The idea of extracting related features was proposed by using SVM algorithm in machine learning domain, and combination optimization method was used, which consists of ANN, HMM and DTW, to do hand gesture recognition. The experimental results show that portfolio optimization model based gesture recognition method has high accuracy and is very effective.

Recommended Citation

Cai, Zhiwei; Wu, Shuyan; and Song, Junfeng (2020) "Study on Hand Gesture Recognition and Portfolio Optimization Model Based on SVM," Journal of System Simulation: Vol. 28: Iss. 8, Article 15.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss8/15

First Page

1812

Revised Date

2015-02-02

DOI Link

https://doi.org/

Last Page

1817

CLC

TP391.41

Recommended Citation

Cai Zhiwei, Wu Shuyan, Song Junfeng. Study on Hand Gesture Recognition and Portfolio Optimization Model Based on SVM[J]. Journal of System Simulation, 2016, 28(8): 1812-1817.