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.

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

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.

This work provides practical and innovative solutions for low-cost, efficient and robust hand gesture recognition for commercial applications in interactive entertainment, healthcare and smart ...

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.