Spatial-temporal generative network based on deep long short-term memory autoencoder for hand skeleton data sequences reconstruction and recognition

Convolutional neural networks attract the highest research focus in the developing field of Hand Gesture Recognition (HGR). Nevertheless, these approaches presented a challenging task in adapting to time-series data. In skeleton-based HGR, extracting spatial–temporal information remains a challenge....

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Bibliographic Details

Published in:	Engineering applications of artificial intelligence Vol. 161; p. 112289
Main Authors:	Ameur, Safa, Mahjoub, Mohamed Ali, Ben Khalifa, Anouar
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 12.12.2025
Subjects:	Autoencoder Generative network Hand gesture recognition Recurrent neural network Time-series data Generative network Recurrent neural network Autoencoder Time-series data Hand gesture recognition
ISSN:	0952-1976
Online Access:	Get full text
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