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.

Scientists have developed an Artificial Intelligence (AI) system that recognises hand gestures by combining skin-like electronics with computer vision.

Motion Gestures, a Canada-based startup, has brought sophisticated camera-based hand tracking and gesture recognition solutions to various industry verticals, offering transformative experience to ...

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.