A Comprehensive Study of Gesture Recognition in Indian Sign Language

Numerous studies have explored the domain of Indian Sign Language (ISL) recognition, often relying on datasets curated by researchers. This review examines various research endeavors, focusing on classification methodologies and the range of gestures analyzed. By surveying diverse studies, we assess how gesture interpretation is approached and the methods used to gather data, along with their associated limitations. This comprehensive analysis sheds light on the nuances of ISL recognition, offering insights into the state of the field and avenues for future research.

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Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/acroset62108.2024.10743710
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
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article

A Comprehensive Study of Gesture Recognition in Indian Sign Language

Anita Mahajan, Kamal Kumar Sethi, Shashi Malviya
Hand Gesture Recognition Systems
article

A Comprehensive Study of Gesture Recognition in Indian Sign Language

Anita Mahajan, Kamal Kumar Sethi, Shashi Malviya
article en

Abstract

Numerous studies have explored the domain of Indian Sign Language (ISL) recognition, often relying on datasets curated by researchers. This review examines various research endeavors, focusing on classification methodologies and the range of gestures analyzed. By surveying diverse studies, we assess how gesture interpretation is approached and the methods used to gather data, along with their associated limitations. This comprehensive analysis sheds light on the nuances of ISL recognition, offering insights into the state of the field and avenues for future research.

Openalex Percentile: Top 80%
Hand Gesture Recognition Systems
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A Comprehensive Study of Gesture Recognition in Indian Sign Language — Anita Mahajan, Kamal Kumar Sethi, et al. · (2024) | TGRS Research Map | TGRS