Author Login IJIRT Partner Network (IPN) Login

Survey on Sign Language Identification Using Deep Learning

  • Unique Paper ID: 158225
  • Volume: 9
  • Issue: 9
  • PageNo: 170-173
  • Abstract:
  • Hearing and speech impairment is one of the most challenging problems faced by people with disabilities. The proposed system provides a platform which helps people with speech disability communicate with the world. Sign language is the mode of communication for speech deprived people and other people cannot interpret their language effectively and this causes a hindrance to them. And as a consequence, people with disabilities who are a minority in the community cannot perform even basic tasks. So, the idea proposed is a system which converts Sign Language (SL) to text and speech output. This is implemented using convolutional neural networks (CNN) to extract efficient hand features to identify the hand gestures according to Sign Language. Hence, this model helps in recognizing the hand gestures of people with disabilities and converting them to text and speech to allow them to communicate effectively.
Download article email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 9
  • Issue: 9
  • PageNo: 170-173

Survey on Sign Language Identification Using Deep Learning

Related Articles

10 May, 2023

Sign Language Identification Using Deep Learning

Read More
Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry