A Novel Hybrid Deep Learning Architecture for Dynamic Hand Gesture Recognition

A Novel Hybrid Deep Learning Architecture for Dynamic Hand Gesture Recognition

Hand gestures are a form of natural communication used in human-computer interaction, however, when gestures are video-based, extraction of features for classification is complex. Current machine learning models struggle to achieve high accuracies when using videos recorded in realistic environments...

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Bibliographic Details
Main Authors: David Richard Tom Hax, Pascal Penava, Samira Krodel, Liliya Razova, Ricardo Buettner
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Human-computer interaction
hand gesture recognition
video hand gesture
dynamic hand gesture
machine learning
deep learning
Online Access:https://ieeexplore.ieee.org/document/10433143/

Internet

https://ieeexplore.ieee.org/document/10433143/

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