The recorded HD-sEMG are decomposed into channel-wise CSTs, transformed into cwCST-image according to the channel distribution, and decoded to different gestures by CNN-based model. The CSTs in each ...

(Nanowerk Spotlight) Hand gestures have become a natural way to communicate with digital systems, but making machines understand those gestures with precision remains a technical challenge. While ...

Recent progress in camera systems, image analysis, and machine learning have made optical-based gesture recognition a more attractive option in most contexts. However, current methods are hindered by ...

In the 2002 science fiction blockbuster film Minority Report, Tom Cruise's character John Anderton uses his hands, sheathed in special gloves, to interface with his wall-sized transparent computer ...

Imagine strapping on a virtual reality headset, then using your hands to pick up a sword and swing it around your head. Imagine a hazard team able to defuse a complicated bomb from a mile away, just ...

ManoMotion has announced that it has successfully integrated its 3D real-time hand gesture recognition technology with Apple's ARKit, and soon Google’s ARCore for advanced Android phones. ManoMotion’s ...

You can do all kinds of wonderful things with cameras and image recognition. However, sometimes spatial data is useful, too. As [madmcu] demonstrates, you can use depth data from a time-of-flight ...

Apple continues to pursue in-air 3D gesture control technology, and on Monday was granted a patent for a machine vision system capable of recognizing human hand gestures with uncanny accuracy. The U.S ...

This Raspberry Pi project uses AI to play rock, paper, scissors, with over 95% accuracy and low latency. No need for external server - AI processing on Raspberry Pi leads to quicker results and cost ...

We've already heard about gloves and cameras that could be used to translate hand gestures (such as American Sign Language) into text or spoken words. What might be simpler, though, is a system ...