CFP last date
20 January 2025
Reseach Article

A Comprehensive Study of Static and Dynamic Hand Gesture Recognition

by Jenitta J.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 30
Year of Publication: 2024
Authors: Jenitta J.
10.5120/ijca2024923853

Jenitta J. . A Comprehensive Study of Static and Dynamic Hand Gesture Recognition. International Journal of Computer Applications. 186, 30 ( Jul 2024), 40-47. DOI=10.5120/ijca2024923853

@article{ 10.5120/ijca2024923853,
author = { Jenitta J. },
title = { A Comprehensive Study of Static and Dynamic Hand Gesture Recognition },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2024 },
volume = { 186 },
number = { 30 },
month = { Jul },
year = { 2024 },
issn = { 0975-8887 },
pages = { 40-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume186/number30/a-comprehensive-study-of-static-and-dynamic-hand-gesture-recognition/ },
doi = { 10.5120/ijca2024923853 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-07-26T23:00:35.490404+05:30
%A Jenitta J.
%T A Comprehensive Study of Static and Dynamic Hand Gesture Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 30
%P 40-47
%D 2024
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Sign language is the only mode of communication for the Deaf and Dumb people. Various sign languages are used in various countries and regions. In India, Indian Sign Language is followed. It has both static and dynamic hand gestures. A normal person cannot understand the signs of what the deaf and dumb people are doing, so an interpreter is needed to interpret the sign language. It is very expensive to have an interpreter for day-to-day activities. It is good to have a computer and algorithms to interpret sign languages. Numerous research has been carried out in this field. This paper aims to review the methods that are used to interpret static sign languages including image processing methods, machine learning algorithms and deep learning algorithms.

References
  1. Sachin Bhat, Amruthesh, M, Ashik, Chidanand Das, Sujith. : Translating Indian Sign Language to text and voice messages using flex sensors. International Journal of Advanced Research in Computer and Communication Engineering. (2015). https://doi10.17148/IJARCCE.2015.4593
  2. K, Sangeethalakshmi, K.G., Shanthi, A., Mohan Raj, S., Muthuselvan, P., Mohammad Taha, S, Mohammed Shoaib.: Hand gesture vocalizer for deaf and dumb people. Materials Today: Proceedings.(2023) https://doi.org/10.1016/j.matpr.2021.07.324
  3. Bhoomi Lodaya, Narendra Patel, Hemant Vasava. : Dynamic Hand Gesture Recognition for Indian Sign Language: A Review. International Research Journal of Engineering and Technology. 03(2022)
  4. Kumar D Anil.: Indian sign language recognition using graph matching on 3D motion captured signs. Multimedia Tools and Applications. (2018). https://doi.org/10.1007/s11042-018-6199-7
  5. Ilias Papastratis, Kosmas Dimitropoulos, Dimitrios Konstantinidis, Petros Daras. : Continuous Sign Language Recognition through Cross-Modal Alignment of Video and Text Embeddings in a Joint-Latent Space. IEEE Access. (2020). 10.1109/ACCESS.2020.2993650
  6. Manisha D. Raut, Pallavi Dhok, Ketan Machhale, Jaspreet Manjeet Hora.: A System for Recognition of Indian Sign Language. International Research Journal of Engineering and Technology. 02, 01. (2015)
  7. Susitha, A, Geetha, N, Suhirtha, R, Swetha, A.P: Static and Dynamic Hand Gesture Recognition for Indian Sign Language. Proceedings of International Conference on Machine Learning and Big Data Analytics. (2021). https//doi/10.1007/978-3-030-82469-3_5
  8. Vishwas S, Hemanth Gowda M, Vivek Chandra H N, Tannvi, Ravi Kumar V.: Sign Language Translator Using Machine Learning. International Journal of Applied Engineering Research. 13, 4. (2018)
  9. Omkar Vedak, Prasad Zavre, Abhijeet Todkar, Manoj Patil.: Sign Language Interpreter using Image Processing and Machine Learning. International Research Journal of Engineering and Technology. 06, 04. (2019)
  10. Suthagar S, K.S., Tamilselvan, P., Balakumar, B., Rajalakshmi, C., Roshini.: Translation of Sign Language for Deaf and Dumb People. International Journal of Recent Technology and Engineering. 8, 5. (2020)
  11. Rakesh Savant, Jitendra Nasriwala.: Static Gesture Recognition for Indian Sign Language Alphabets and Numbers using SVM with ORB Keypoints and Image Pixel as Feature. International Journal of Engineering Research & Technology (2022). https://doi/10.17577/IJERTV11IS010090
  12. Kusumika Krori Dutta, Sunny Arokia Swamy Bellary.: Machine Learning Techniques for Indian Sign Language Recognition. International Conference on Current Trends in Computer, Electrical, Electronics and Communication. (2017). https://doi/10.1109/CTCEEC.2017.8454988
  13. P., Subha Rajam, G., Balakrishnan.: Real Time Indian Sign Language Recognition System to aid Deaf-dumb People. IEEE 13th International Conference on Communication Technology. (2011). https://doi/10.1109/ICCT.2011.6157974
  14. Madhuri Sharma, Ranjna Pal, Ashok Kumar Sahoo.: Indian Sign Language Recognition Using Neural Networks and KNN Classifiers. ARPN Journal of Engineering and Applied Sciences. 9, 8. (2014)
  15. Kanchan Dabre, Surekha Dholay.: Machine Learning Model for Sign Language Interpretation using Webcam Images (2014). https://doi/10.1007/978-3-030-82469-3_5
  16. Sirshendu Hore, Sankhadeep Chatterjee.: Indian Sign Language Recognition using Optimized Neural Networks. Proceedings of the conference. (2015) https://doi.org/10.1007/978-3-319-38771-0_54
  17. Suneetha Mopidevi, Shivananda Biradhar, Neha Bobberla and Kiran Sai Buddati.: Hand gesture recognition and voice conversion for deaf and Dumb. E3S Web of Conferences. (2023). https:// doi/ 10.1109/ICACCS.2019.8728538
  18. Perumala Achyuth, J Ganesh, Bariki Jagannatha, Eediga Lakkamsani Dharma Teja Goud, B Mahesh.: Hand Gesture Recognition and Voice Conversion For Deaf And Dumb. Journal of Engineering Sciences. 14, 04. (2023)
  19. Prasanthi Yavanamandha, Bodduru Keerthana, Penmetsa Jahnavi, Koduganti Venkata Rao, Chatikam Raj Kumar.: Machine Learning-Based Gesture Recognition for Communication with the Deaf and Dumb. Int. J. Exp. Res. Rev., (2023). https://doi/10.52756/ijerr.2023.v34spl.004
  20. Mehreen Hurroo, Mohammad Elham Walizad.: Sign Language Recognition System using Convolutional Neural Network and Computer Vision. International Journal of Engineering Research & Technology. 9, 12. (2020)
  21. Reshna, Sajeena.: Recognition of static hand gesture recognition of Indian sign language using CNN. Proceedings of the International Conference on Microelectronics, Signals and Systems. (2019). https://doi/ 10.1063/5.0004485
  22. Sruthi C. J and Lijiya A.: Signet: A Deep Learning based Indian Sign Language Recognition System. International Conference on Communication and Signal Processing. (2019) https://doi/10.1109/ICCSP.2019.8698006
  23. Sajanraj T.D., Beena M.V.: Indian Sign Language Numeral Recognition Using Region of Interest Convolutional Neural Network. Proceedings of the 2nd International Conference on Inventive Communication and Computational Technologies. (2018). https://doi/10.1109/ICICCT.2018.8473141
  24. Mahin Moghbeli Damaneh, Farahnaz Mohanna, Pouria Jafari.: Static hand gesture recognition in sign language based on Convolutional Neural Network with feature extraction method using ORB descriptor and Gabor filter. Expert Systems with Applications (2023). https://doi.org/10.1016/j.eswa.2022.118559
  25. Neel Kamal Bhagat, Vishnusai, Y., Rathna G.N.: Indian Sign Language Gesture Recognition using Image Processing and Deep Learning. IEEE (2019). https://doi/10.1109/DICTA47822.2019.8945850
  26. Roli Kushwaha, Gurjit Kaur, Manjeet Kumar.: Hand Gesture based Sign Language Recognition using Deep Learning. Third International Conference on Secure Cyber Computing and Communication (2023). https://doi/10.1109/ICSCCC58608.2023.10176912
  27. Pranav Sheth, Sanju Rajora, Yogeshvari Makwana.: Sign Language Recognition Application Using LSTM And GRU. International Journal of Science. (2023). https://doi/10.13140/RG.2.2.18635.87846
Index Terms

Computer Science
Information Sciences
Review
Deep learning
Gesture recognition

Keywords

Deep learning Gesture recognition Machine learning Review Static hand gesture