Sign Language Recognition System Using Deep Neural Network

被引：0
|
作者：
Suresh, Surejya [1 ]
Haridas, Mithun T. P. [1 ]
Supriya, M. H. [1 ]
机构：
[1] Cochin Univ Sci & Technol, Dept Elect, Kochi, Kerala, India
来源：
2019 5TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING & COMMUNICATION SYSTEMS (ICACCS) | 2019年
关键词：
Sign Language Recognition; Convolutional Neural Network; SGD; Adam;
D O I：
10.1109/icaccs.2019.8728411
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 the current fast-moving world, human-computer-interactions (HCI) is one of the main contributors towards the progress of the country. Since the conventional input devices limit the naturalness and speed of human-computer-interactions, Sign Language recognition system has gained a lot of importance. Different sign languages can be used to express intentions and intonations or for controlling devices such as home robots. The main focus of this work is to create a vision based system, a Convolutional Neural Network (CNN) model, to identify six different sign languages from the images captured. The two CNN models developed have different type of optimizers, the Stochastic Gradient Descent (SGD) and Adam.
引用
收藏
页码：614 / 618
页数：5
相关论文
共 50 条
  • [1] Bengali Sign Language Recognition Using Deep Convolutional Neural Network
    Hossen, M. A.
    Govindaiah, Arun
    Sultana, Sadia
    Bhuiyan, Alauddin
    2018 JOINT 7TH INTERNATIONAL CONFERENCE ON INFORMATICS, ELECTRONICS & VISION (ICIEV) AND 2018 2ND INTERNATIONAL CONFERENCE ON IMAGING, VISION & PATTERN RECOGNITION (ICIVPR), 2018, : 369 - 373
  • [2] Ethiopian sign language recognition using deep convolutional neural network
    Bekalu Tadele Abeje
    Ayodeji Olalekan Salau
    Abreham Debasu Mengistu
    Nigus Kefyalew Tamiru
    Multimedia Tools and Applications, 2022, 81 : 29027 - 29043
  • [3] Ethiopian sign language recognition using deep convolutional neural network
    Abeje, Bekalu Tadele
    Salau, Ayodeji Olalekan
    Mengistu, Abreham Debasu
    Tamiru, Nigus Kefyalew
    MULTIMEDIA TOOLS AND APPLICATIONS, 2022, 81 (20) : 29027 - 29043
  • [4] Indian Sign Language Gesture Recognition Using Deep Convolutional Neural Network
    Varsha, M.
    Nair, Chitra S.
    2021 8TH INTERNATIONAL CONFERENCE ON SMART COMPUTING AND COMMUNICATIONS (ICSCC), 2021, : 193 - 197
  • [5] Recognition of Bengali Sign Language using Novel Deep Convolutional Neural Network
    Hossein, Md Jahangir
    Ejaz, Md Sabbir
    2020 2ND INTERNATIONAL CONFERENCE ON SUSTAINABLE TECHNOLOGIES FOR INDUSTRY 4.0 (STI), 2020,
  • [6] Hand Gesture Recognition for Bangla Sign Language Using Deep Convolution Neural Network
    Tasmere, Dardina
    Ahmed, Boshir
    2020 2ND INTERNATIONAL CONFERENCE ON SUSTAINABLE TECHNOLOGIES FOR INDUSTRY 4.0 (STI), 2020,
  • [7] Korean Sign Language Recognition Using Transformer-Based Deep Neural Network
    Shin, Jungpil
    Musa Miah, Abu Saleh
    Hasan, Md. Al Mehedi
    Hirooka, Koki
    Suzuki, Kota
    Lee, Hyoun-Sup
    Jang, Si-Woong
    APPLIED SCIENCES-BASEL, 2023, 13 (05):
  • [8] Benchmarking deep neural network approaches for Indian Sign Language recognition
    Sharma, Ashish
    Sharma, Nikita
    Saxena, Yatharth
    Singh, Anuraj
    Sadhya, Debanjan
    NEURAL COMPUTING & APPLICATIONS, 2021, 33 (12): : 6685 - 6696
  • [9] Benchmarking deep neural network approaches for Indian Sign Language recognition
    Ashish Sharma
    Nikita Sharma
    Yatharth Saxena
    Anuraj Singh
    Debanjan Sadhya
    Neural Computing and Applications, 2021, 33 : 6685 - 6696
  • [10] Recognition Bangla Sign Language using Convolutional Neural Network
    Islalm, Md Shafiqul
    Rahman, Md Moklesur
    Rahman, Md. Hafizur
    Arifuzzaman, Md
    Sassi, Roberto
    Aktaruzzaman, Md
    2019 INTERNATIONAL CONFERENCE ON INNOVATION AND INTELLIGENCE FOR INFORMATICS, COMPUTING, AND TECHNOLOGIES (3ICT), 2019,
12345