Deep vision-based real-time hand gesture recognition: a review.

ABSTRACT: Hand gesture recognition is an approach to comprehending human body language, applied in various fields such as human-computer interaction. However, some issues remain in edge blurring generated by complex backgrounds, rotation inaccuracy induced by fast movement, and delay caused by computing cost. Recently, the emergence of deep learning has ameliorated these issues, convolution neural network (CNN) enhanced edge clarity, long-short term memory (LSTM) improved rotation accuracy, and attention mechanism optimized response time. In this context, this review starts with the deep learning models, specifically CNN, LSTM, and attention mechanisms, which are compared and discussed from the utilization rate of each, their contribution to improving accuracy or efficiency, and their role in the re

SUBMITTER: Cui C 

PROVIDER: S-EPMC12453657 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature