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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Bibliografiske detaljer

Principais autores:	David Richard Tom Hax, Pascal Penava, Samira Krodel, Liliya Razova, Ricardo Buettner
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2024-01-01
Serier:	IEEE Access
Fag:	Human-computer interaction hand gesture recognition video hand gesture dynamic hand gesture machine learning deep learning
Online adgang:	https://ieeexplore.ieee.org/document/10433143/
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