Improved feature reduction framework for sign language recognition using autoencoders and adaptive Grey Wolf Optimization

Improved feature reduction framework for sign language recognition using autoencoders and adaptive Grey Wolf Optimization

Abstract Automatic Sign Language Recognition Systems (ASLR) offers smooth communication between hearing-impaired and normal-hearing individuals, enhancing educational opportunities for impaired. However, it struggles with “curse of dimensionality” due to excessive features resulting in prolonged tra...

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Bibliographic Details
Main Authors: Rajeev Goel, Sandhya Bansal, Kavita Gupta
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Sign language recognition
Feature selection
Grey Wolf Optimization
Autoencoder
Online Access:https://doi.org/10.1038/s41598-024-82785-x
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