Researchers from Shanghai Jiao Tong University have introduced an innovative model for hand gesture recognition, called the channel-wise cumulative spike train convolutional neural network (cwCST ...

The team tested their algorithm both in a commercial PC processor and an FPGA platform using an USB camera. They had 40 volunteers make the nine hand gestures multiple times to build up the sample ...

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 ...

Zoom’s reaction emoji are a core part of the platform. Now it’s bringing gesture recognition to the thumbs-up and waving reactions on Windows and Mac, so you can register them in the meeting ...