JOURNAL ARTICLE

Recent Advances in Sign Language Recognition using Deep Learning Techniques

Selvam E PanneerM. Sornam

Year: 2022 Journal:   2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) Pages: 1261-1265

Abstract

Communication is essential to express and receive information, knowledge, ideas, and views among people, but it has been quite a while to be an obstruction for people with hearing and mute disabilities. Though there is sign language to communicate with non-sign people it is difficult for everyone to interpret and understand. As reported by World Health Organization (WHO), five percent of the world population of over 300 million people suffers from hearing disability. Technology has grown rapidly in the last few decades with the presence of deep learning and artificial intelligence, but somehow physically impaired people are not able to get the maximum benefit of it due to lack of awareness, accessibility problems, cost, and other reasons. This survey paper discusses the recent development and assistance provided for signers to communicate with non-signers.

Keywords:
Sign language Sign (mathematics) Computer science Assistive technology Population Psychology Human–computer interaction Linguistics Medicine

Metrics

5
Cited By
0.61
FWCI (Field Weighted Citation Impact)
24
Refs
0.56
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Hand Gesture Recognition Systems
Physical Sciences →  Computer Science →  Human-Computer Interaction
Hearing Impairment and Communication
Social Sciences →  Psychology →  Developmental and Educational Psychology
Tactile and Sensory Interactions
Life Sciences →  Neuroscience →  Cognitive Neuroscience

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