Indian Sign Language Recognition: Database Creation, Hand Tracking and Segmentation

被引：0
|
作者：
Nanivadekar, Purva A. [1 ]
Kulkarni, Vaishali [1 ]
机构：
[1] NMIMS Univ, MPSTME, EXTC Dept, Bombay, Maharashtra, India
来源：
2014 INTERNATIONAL CONFERENCE ON CIRCUITS, SYSTEMS, COMMUNICATION AND INFORMATION TECHNOLOGY APPLICATIONS (CSCITA) | 2014年
关键词：
Hand Tracking; Motion tracking; Skin Color Model; Edge detection; Segmentation; GESTURE;
D O I：
暂无
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：
In this paper a Sign Language Recognition system has been proposed. The first step of this system is to create a database of Indian Sign Language. This is done by acquiring the videos from the signers while they are performing the hand gestures. Next step is Hand tracking and Segmentation. This is performed in order to extract features from a particular gesture. A three step algorithm has been used in the proposed system to get better quality hand tracking and segmentation. This algorithm works on motion tracking, edge detection and skin color detection. The system is implemented successfully and results are presented in this paper. The results demonstrate working of motion tracking, edge detection and skin color detection individually as well as their combined effect.
引用
收藏
页码：358 / 363
页数：6
相关论文
共 50 条
  • [1] Spotting and Recognition of Hand Gesture for Indian Sign Language Recognition System with Skin Segmentation and SVM
    Reshna, S.
    Jayaraju, M.
    [J]. 2017 2ND IEEE INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, SIGNAL PROCESSING AND NETWORKING (WISPNET), 2017, : 386 - 390
  • [2] Improved face and hand tracking for sign language recognition
    Soontranon, N
    Aramvith, S
    Chalidabhongse, TH
    [J]. ITCC 2005: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY: CODING AND COMPUTING, VOL 2, 2005, : 141 - 146
  • [3] Automatic skin segmentation and tracking in sign language recognition
    Han, J.
    Awad, G.
    Sutherland, A.
    [J]. IET COMPUTER VISION, 2009, 3 (01) : 24 - 35
  • [4] Automatic Hand Gesture Segmentation for Recognition of Vietnamese Sign Language
    Duc-Hoang Vo
    Huu-Hung Huynh
    Thanh-Nghia Nguyen
    Meunier, Jean
    [J]. PROCEEDINGS OF THE SEVENTH SYMPOSIUM ON INFORMATION AND COMMUNICATION TECHNOLOGY (SOICT 2016), 2016, : 368 - 373
  • [5] Static and Dynamic Hand Gesture Recognition for Indian Sign Language
    Susitha, A.
    Geetha, N.
    Suhirtha, R.
    Swetha, A.
    [J]. MACHINE LEARNING AND BIG DATA ANALYTICS (PROCEEDINGS OF INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND BIG DATA ANALYTICS (ICMLBDA) 2021), 2022, 256 : 48 - 66
  • [6] Hand Gesture Recognition Software Based on Indian Sign Language
    Kadam, Sanket
    Ghodke, Aakash
    Sadhukhan, Sumitra
    [J]. PROCEEDINGS OF 2019 1ST INTERNATIONAL CONFERENCE ON INNOVATIONS IN INFORMATION AND COMMUNICATION TECHNOLOGY (ICIICT 2019), 2019,
  • [7] An Improved Hand Tracking Algorithm for Chinese Sign Language Recognition
    Liu, Chenyu
    Li, Zhijun
    Zhang, Chengyao
    Yan, Yufei
    Mang, Rui
    [J]. PROCEEDINGS OF 2019 IEEE 3RD INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2019), 2019, : 229 - 232
  • [8] INDIAN SIGN LANGUAGE RECOGNITION
    Deora, Divya
    Bajaj, Nikesh
    [J]. 2012 1ST INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGY TRENDS IN ELECTRONICS, COMMUNICATION AND NETWORKING (ET2ECN), 2012,
  • [9] COMPARATIVE ANALYSIS OF MOVEMENT AND TRACKING TECHNIQUES FOR INDIAN SIGN LANGUAGE RECOGNITION
    Gupta, Prerna
    Joshi, Garima
    Dutta, Maitreyee
    [J]. 2015 5TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING & COMMUNICATION TECHNOLOGIES ACCT 2015, 2015, : 90 - 95
  • [10] A deep sign language recognition system for Indian sign language
    Das, Soumen
    Biswas, Saroj Kr
    Purkayastha, Biswajit
    [J]. NEURAL COMPUTING & APPLICATIONS, 2023, 35 (02): : 1469 - 1481
12345