Sign Language Recognition In Real Time Using Artificial Intelligence
Sign Language Recognition, Deaf Communication, Sign Language Technology, Linguistic Complexity, Deep Learning, Computer Vision, Sensor Integration, Multi-modal Recognition, Gesture Recognition.
SLR, an iconic piece of technology, helps the hearing and Deaf cultures communicate with one another. In this essay, the relevance of SLR is investigated, along with the special difficulties that Sign Language poses because to its grammatical complexity. The many technologies and methodologies utilized in SLR are covered, with a focus on the function of data-driven deep learning techniques and sensor integration. Real-world applications in education, accessibility, and communication are highlighted along with the significance of high-quality datasets and assessment measures. Emphasizing SLR's ability to promote inclusion and equitable access to knowledge, future trends and ethical issues are also discussed.
"Sign Language Recognition In Real Time Using Artificial Intelligence", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 10, page no.108 - 112, October-2023, Available :https://ijsdr.org/papers/IJSDR2310019.pdf
Volume 8
Issue 10,
October-2023
Pages : 108 - 112
Paper Reg. ID: IJSDR_208818
Published Paper Id: IJSDR2310019
Downloads: 000347224
Research Area: Computer Science & Technology
Country: Doraha, Punjab, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
