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

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.

Scientists from Nanyang Technological University, Singapore have developed an Artificial Intelligence system that recognises hand gestures by combining skin-like electronics with computer vision.

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.

Omron claims its new hand gesture recognition technology allows users to intuitively control machines with hand gestures, easily and accurately ...

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 ...