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.

Founded in 2017 by Kashif Kahn and Arash Abghari, Motion Gestures disrupts camera-based contactless interaction by using artificial intelligence (AI) and machine learning (ML) techniques. Chris ...