Dynamic hand gesture recognition based on textural features

被引：3

作者：

Agab, Salah Eddine ^{[1
]}

Chelali, Fatma Zohra ^{[1
]}

机构：

[1] Univ Sci & Technol Houari Boumediene USTHB, Fac Elect & Comp Sci, Speech Commun & Signal Proc Lab, Box 32 El Alia, Algiers 16111, Algeria

来源：

2019 INTERNATIONAL CONFERENCE ON ADVANCED ELECTRICAL ENGINEERING (ICAEE) | 2019年

关键词：

LBP; LBPriu2; CS-LBP; EHD; Neural network; MLP; RBF; hand gesture recognition; CLASSIFICATION;

D O I：

10.1109/icaee47123.2019.9014683

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This article proposes an implementation of a dynamic gesture recognition system using different textural descriptors such as the basic Local Binary Patterns (LBP), Rotation Invariant and Uniform LBP (LBPriu2), Center-Symmetric LBP (CS-LBP) and Edge Histogram Descriptor (EHD). The recognition task is performed using two variants of the Artificial Neural Network (ANN), which are the Multilayer Perceptron (MLP) and the Radial Basis Function neural network (RBF). Experiments were performed on a user-independent database with a simple background where 95.83% recognition rate was achieved. A comparison with previous works shows the efficiency of our system.

引用

页数：6

共 50 条

[1] Textural feature descriptors for a static and dynamic hand gesture recognition system
Roumiassa Ferhat
Fatma Zohra Chelali
Multimedia Tools and Applications, 2024, 83 : 8165 - 8187
[2] Textural feature descriptors for a static and dynamic hand gesture recognition system
Ferhat, Roumiassa
Chelali, Fatma Zohra
MULTIMEDIA TOOLS AND APPLICATIONS, 2024, 83 (03) : 8165 - 8187
[3] Dynamic Hand Gesture Recognition Using Kinematic Features Based on Dynamic Time Warping
Pang, Haibo
Ding, Youdong
ADVANCES IN COMPUTING, CONTROL AND INDUSTRIAL ENGINEERING, 2012, 235 : 68 - +
[4] Hand gesture recognition based on combined features extraction
Elmezain, Mahmoud
Al-Hamadi, Ayoub
Michaelis, Bernd
World Academy of Science, Engineering and Technology, 2009, 36 : 395 - 400
[5] DYNAMIC HAND GESTURE RECOGNITION
Rokade-Shinde, Rajeshree
Sonawane, Jayashree
2016 INTERNATIONAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (ICONSIP), 2016,
[6] Hand Gesture Recognition Based on Cascading of Multiple Features
Gudavalli, Madhavi
Mohan, C. Krishna
2018 INTERNATIONAL CONFERENCE ON INTELLIGENT AUTONOMOUS SYSTEMS (ICOIAS), 2018, : 28 - 34
[7] Sensor Based Dynamic Hand Gesture Recognition by PairNet
Jhang, Yun-Jie
Chu, Yen-Cheng
Tai, Tsung-Ming
Hwang, Wen-Jyi
Cheng, Po-Wen
Lee, Cheng-Kuang
2019 INTERNATIONAL CONFERENCE ON INTERNET OF THINGS (ITHINGS) AND IEEE GREEN COMPUTING AND COMMUNICATIONS (GREENCOM) AND IEEE CYBER, PHYSICAL AND SOCIAL COMPUTING (CPSCOM) AND IEEE SMART DATA (SMARTDATA), 2019, : 994 - 1001
[8] Recognition of Dynamic Hand Gesture Based on SCHMM Model
Tan, Wenjun
Wu, Chengdong
Zhao, Shuying
Chen, Shuo
CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS, 2009, : 2430 - 2434
[9] Skeleton-based Dynamic hand gesture recognition
De Smedt, Quentin
Wannous, Hazem
Vandeborre, Jean-Philippe
PROCEEDINGS OF 29TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, (CVPRW 2016), 2016, : 1206 - 1214
[10] Dynamic hand gesture recognition based on SURF tracking
Bao J.
Song A.
Guo Y.
Tang H.
Jiqiren/Robot, 2011, 33 (04): : 482 - 489

← 1 2 3 4 5 →