Hand Gesture Recognition Using Deep Learning

被引：0

作者：

Hussain, Soeb ^{[1
]}

Saxena, Rupal ^{[1
]}

Han, Xie ^{[2
]}

Khan, Jameel Ahmed ^{[2
]}

Shin, Hyunchul ^{[2
]}

机构：

[1] Indian Inst Technol, Dept Chem, Gauhati, Guwahati, India

[2] Hanyang Univ, Dept Elect & Commun Engn, Seoul, South Korea

来源：

PROCEEDINGS INTERNATIONAL SOC DESIGN CONFERENCE 2017 (ISOCC 2017) | 2017年

关键词：

computer vision; deep learning; hand gesture; neural network; transfer learning; hand gesture recognition;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to offer new possibilities to interact with machine and to design more natural and more intuitive interactions with computing machines, our research aims at the automatic interpretation of gestures based on computer vision. In this paper, we propose a technique which commands computer using six static and eight dynamic hand gestures. The three main steps are: hand shape recognition, tracing of detected hand (if dynamic), and converting the data into the required command. Experiments show 93.09% accuracy.

引用

页码：48 / 49

页数：2