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

If this classification is successful, subsequent steps in the hand gesture recognition process only compare the input gesture with stored samples of the same hand type.

Scientists introduce a method using programmable metasurfaces to achieve highly accurate, wireless hand gesture recognition, overcoming challenges in existing technologies.

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.

Instructors and students can give more visible feedback through live gestures by using new raise hand and thumbs-up 👍 gesture recognition. This feature will automatically display a corresponding ...

Its gesture recognition feature will show a thumbs-up emoji in the meeting when you give one to your webcam, or flag a raised-hand emoji when you raise your hand.