Smart Gloves for Hand Gesture Recognition Sign Language to Speech Conversion System

被引:0
|
作者
Bhaskaran, Abhijith K. [1 ]
Nair, Anoop G.
Ram, Deepak K.
Ananthanarayanan, Krishnan
Vardhan, H. R. Nandi
机构
[1] Amrita Sch Engn, Dept Elect & Commun Engn, Bengaluru, India
关键词
Glove; Indian Sign language; Flex Sensors; Inertial Measurement Unit; State Estimation Method; Three Dimensional Space; gaming; robotics; medical field;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
People with speech impairment find it difficult to communicate in a society where most of the people do not understand sign language. The idea proposed in this paper is a smart glove which can convert sign language to speech output. The glove is embedded with flex sensors and an Inertial Measurement Unit (IMU) to recognize the gesture. A novel method of State Estimation has been developed to track the motion of hand in three dimensional spaces. The prototype was tested for its feasibility in converting Indian Sign Language to voice output. Though the glove is intended for sign language to speech conversion, it is a multipurpose glove and finds its applications in gaming, robotics and medical field.
引用
收藏
页码:226 / 231
页数:6
相关论文
共 50 条
  • [31] Implementation of a Human-Robot Collaboration System Based On Smart Hand Gesture and Speech Recognition
    Chen, Shang-Liang
    Huang, Li-Wu
    Huang, Chung-Chi
    Lee, Feng-Chi
    Huang, Ho-Chuan
    Chen, Chien-Yu
    JOURNAL OF THE CHINESE SOCIETY OF MECHANICAL ENGINEERS, 2020, 41 (06): : 755 - 762
  • [32] Bluetooth Enabled Electronic Gloves for Hand Gesture Recognition
    Jenefa, R. Helen
    Gokulakrishnan, K.
    PROCEEDING OF THE INTERNATIONAL CONFERENCE ON COMPUTER NETWORKS, BIG DATA AND IOT (ICCBI-2018), 2020, 31 : 771 - 777
  • [33] Reduction of Gesture Feature Dimension for Improving the Hand Gesture Recognition Performance of Numerical Sign Language
    Bhuiyan, Rasel Ahmed
    Tushar, Abdul Kawsar
    Ashiquzzainani, Akm
    Shin, Jungian
    Islam, Md Rashedul
    2017 20TH INTERNATIONAL CONFERENCE OF COMPUTER AND INFORMATION TECHNOLOGY (ICCIT), 2017,
  • [34] STUDY OF VISION BASED HAND GESTURE RECOGNITION USING INDIAN SIGN LANGUAGE
    Ghotkar, Archana S.
    Kharate, Gajanan K.
    INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS, 2014, 7 (01) : 96 - 115
  • [35] Hand Gesture Recognition for Lao Alphabet Sign Language using HOG and Correlation
    Sombandith, Vimonhak
    Walairacht, Aranya
    Walairacht, Somsak
    2017 14TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING/ELECTRONICS, COMPUTER, TELECOMMUNICATIONS AND INFORMATION TECHNOLOGY (ECTI-CON), 2017, : 649 - 651
  • [36] Static hand gesture recognition for American sign language using neuromorphic hardware
    Mohammadi, Mohammadreza
    Chandarana, Peyton
    Seekings, James
    Hendrix, Sara
    Zand, Ramtin
    NEUROMORPHIC COMPUTING AND ENGINEERING, 2022, 2 (04):
  • [37] Sign Language Translator and Gesture Recognition
    Elmahgiubi, Mohammed
    Ennajar, Mohamed
    Drawil, Nabil
    Elbuni, Mohamed Samir
    2015 GLOBAL SUMMIT ON COMPUTER & INFORMATION TECHNOLOGY (GSCIT), 2015,
  • [38] Dynamic gesture recognition system for the Korean Sign Language (KSL)
    Korea Advanced Inst of Science and, Technology, Taejon, Korea, Republic of
    IEEE Trans Syst Man Cybern Part B Cybern, 2 (354-359):
  • [39] Conversion of Hand Gesture to Speech for Speech Impaired People
    Chavan, Deep R.
    Kolekar, Maheshkumar H.
    2022 IEEE 19TH INDIA COUNCIL INTERNATIONAL CONFERENCE, INDICON, 2022,
  • [40] Cost effective portable system for sign language gesture recognition
    Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, United States
    不详
    不详
    IEEE Int. Conf. Syst. Syst. Eng., SoSE, 2008,