Video Captioning Based on Sign Language Using YOLOV8 Model-Reference-Cited by-同舟云学术

Video Captioning Based on Sign Language Using YOLOV8 Model

Published:2023-10-26 Issue: Volume: Page:306-315
ISSN:1868-4238
Container-title:Internet of Things. Advances in Information and Communication Technology
language:
Short-container-title:

Author:

Vidhyasagar B. S.^ORCID,Lakshmanan An Sakthi,Abishek M. K.^ORCID,Kalimuthu Sivakumar

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-45878-1_21

Reference20 articles.

1. Mehta, A., Solanki, K., Trupti Rathod, T.: Automatic translate real-time voice to sign language conversion for deaf and dumb people. Int. J. Eng. Res. Technol. (IJERT) ICRADL – 2021 9(5), 174–177 (2021)

2. Rani, R.S., Rumana, R., Prema, R.: A review paper on sign language recognition for the deaf and dumb. Int. J. Eng. Res. Technol. (IJERT) 10(10), (2021)

3. Khallikkunaisa, Kulsoom A.A., Chandan Y.P, Fathima Farheen, F., Halima, N.: Real time sign language recognition and translation to text for vocally and hearing impaired people. Int. J. Eng. Res. Technol. (IJERT) IETE 8(11) (2020)

4. Kodandaram, S.R., Kumar, N., Gl, S.: Sign language recognition. Turkish J. Comput. Math. Educ. (TURCOMAT). 12, 994–1009 (2021)

5. Muralidharan, N. T. , R. R. S., R. M. R., S. N. M., H. M. E.: Modelling of sign language smart glove based on bit equivalent implementation using flex sensor. In: 2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET), Chennai, India, pp. 99–104 (2022). https://doi.org/10.1109/WiSPNET54241.2022.9767137

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Early Detection of Down Syndrome Through Ultrasound Imaging Using Deep Learning Strategies — A Review;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22

2. An Exploration of Object Detection and Vehicular Communication for Autonomous Vehicles;IFIP Advances in Information and Communication Technology;2024