Gesture recognition process The gesture recognition process contains preprocessing, feature extraction, and a template matching stage. Figure 4 shows the process.

A new spike-based image model enables accurate hand gesture recognition by capturing dynamic motion patterns using neural-inspired data processing.

A research paper by scientists at Shanghai Jiao Tong University presented a novel channel-wise cumulative spike train image-driven model (cwCST-CNN) for hand gesture recognition.

Gesture recognition and machine learning are getting a lot of air time these days, as people understand them more and begin to develop methods to implement them on many different platforms.

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