The research paper, published in the journal Cyborg and Bionic Systems, leverage a custom convolutional neural network (CNN) to extract both local and global features for classifying hand gestures, by ...

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 ...

While the Nintendo Wii and Microsoft Kinect are largely responsible for bringing gesture control into the lounge room, a new technology from OMRON promises to make gesture control mobile. Building on ...

If you like the idea of talking to your car to operate certain functions, you can now wave and take a swipe at it. While gesture recognition is used in consumer electronics, it is now creeping into ...

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 ...

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 ...

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 ...