khanhdq109/Pipeline-for-Hand-Gesture-Recognition
Developing a pipeline for Hand Gesture Recognition
This project helps developers integrate real-time dynamic hand gesture recognition into their applications. It takes live camera feeds or video files as input and outputs identified hand gestures, enabling touchless control or interaction. It is designed for developers working on gesture-controlled systems or interactive experiences.
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Use this if you are a developer looking to implement dynamic hand gesture recognition for real-time applications using large, established datasets like HaGRID and JESTER.
Not ideal if you need a pre-built, plug-and-play end-user application or if you have limited memory (it requires at least 70GB).
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Python
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Sep 16, 2025
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