Robust Vision-Based Hand Tracking Using Single Camera for Ubiquitous 3D Gesture Interaction

被引:0
|
作者
Rodriguez, Sergio [1 ]
Picon, Artzai [1 ]
Villodas, Aritz [1 ]
机构
[1] Tecnalia, Infotech Unit, Parque Tecnol,Edificio 202, Zamudio 48170, Bizkaia, Spain
关键词
user interaction; computer vision; kalman filter; adaboost;
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
Along History, the gestures have been one of the most natural interaction methods of the Human Being. This work proposes a novel 3D interaction technique based on computer vision for human-computer gesture interaction. The main contribution to the interaction field is that this technique implements and improves on-the-edge computer vision algorithms offering a low cost solution providing robustness against scenario and user diversity. Thanks to these characteristics, this system allows the human-computer ubiquitous interaction in a robust way.
引用
收藏
页码:135 / 136
页数:2
相关论文
共 50 条
  • [21] Real-time robust vision-based hand gesture recognition using stereo images
    Liu, Kui
    Kehtarnavaz, Nasser
    [J]. JOURNAL OF REAL-TIME IMAGE PROCESSING, 2016, 11 (01) : 201 - 209
  • [22] The Vision-Based Hand Gesture Recognition Using Blob Analysis
    Ganokratanaa, Thittaporn
    Pumrin, Suree
    [J]. 2017 INTERNATIONAL CONFERENCE ON DIGITAL ARTS, MEDIA AND TECHNOLOGY (ICDAMT): DIGITAL ECONOMY FOR SUSTAINABLE GROWTH, 2017, : 336 - 341
  • [23] Real-time robust vision-based hand gesture recognition using stereo images
    Kui Liu
    Nasser Kehtarnavaz
    [J]. Journal of Real-Time Image Processing, 2016, 11 : 201 - 209
  • [24] Dynamic hand gesture recognition using vision-based approach for human-computer interaction
    Singha, Joyeeta
    Roy, Amarjit
    Laskar, Rabul Hussain
    [J]. NEURAL COMPUTING & APPLICATIONS, 2018, 29 (04): : 1129 - 1141
  • [25] A ROBUST TRACKING ALGORITHM FOR 3D HAND GESTURE WITH RAPID HAND MOTION THROUGH DEEP LEARNING
    Sanchez-Riera, Jordi
    Hsiao, Yuan-Sheng
    Lim, Tekoing
    Hua, Kai-Lung
    Cheng, Wen-Huang
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO WORKSHOPS (ICMEW), 2014,
  • [26] Vision-Based Hand Gesture Recognition for Human-Computer Interaction——A Survey
    GAO Yongqiang
    LU Xiong
    SUN Junbin
    TAO Xianglin
    HUANG Xiaomei
    YAN Yuxing
    LIU Jia
    [J]. Wuhan University Journal of Natural Sciences, 2020, 25 (02) : 169 - 184
  • [27] TOF Depth Camera Based 3D Gesture Interaction System
    Ahn, Yang-Keun
    Park, Young-Choong
    Choi, Kwang-Soon
    Park, Woo-Chool
    Seo, Hae-Moon
    Jung, Kwang-Mo
    [J]. ADVANCES IN INFORMATION TECHNOLOGY, PROCEEDINGS, 2009, 55 : 11 - 17
  • [28] A robust hand tracking for gesture-based interaction of wearable computers
    Liu, Y
    Jia, Y
    [J]. EIGHTH INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS, PROCEEDINGS, 2004, : 22 - 29
  • [29] Vision-based Trajectory Tracking on the 3D Virtual Space for a Quadrotor
    Jurado, Francisco
    Palacios, Guillermo
    Flores, Francisco
    [J]. 2012 IEEE NINTH ELECTRONICS, ROBOTICS AND AUTOMOTIVE MECHANICS CONFERENCE (CERMA 2012), 2012, : 31 - 36
  • [30] Computer Vision-Based Real-Time 3D Gesture Recognition Using Depth Image
    Heickal, Hasnain
    Zhang, Tao
    Hasanuzzaman, Md
    [J]. INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS, 2015, 15 (01)