Gesture recognition and response system for special education using computer vision and human-computer interaction technology

Gesture recognition has emerged as a pivotal technology for enhancing human-computer interaction (HCI), especially in the context of special education. This study presents a comprehensive gesture recognition and response system that leverages advanced deep learning architectures, including AlexNet,...

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Veröffentlicht in:	Disability and rehabilitation: Assistive technology S. 1
1. Verfasser:	Xuanfeng, Duan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England 08.07.2025
Schlagworte:	deep learning model compression MobileNet VGG-19 real-time systems special education Gesture recognition AlexNet assistive technology genetic algorithms machine learning ResNet
ISSN:	1748-3115, 1748-3115
Online-Zugang:	Volltext
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