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

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.

Here's hoping people find cool ways to put this tech to use. This project lets you play rock, paper, scissors versus your Raspberry Pi, complete with hand gesture recognition ...