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 ...

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 ...

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 ...

Scientists have developed an Artificial Intelligence (AI) system that recognises hand gestures by combining skin-like electronics with computer vision. Scientists from Nanyang Technological University ...

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 ...

Move a thumb to unlock a car door. Self-check-in at an airport without touching the kiosk. These are no longer scenes in the movies but what technology is capable of nowadays. Motion Gestures, a ...

I thought it would be nice if openDog could respond to hand gesture signals instead of driving with the remote control. I really wanted to try to train a deep learning model to do this also so I can ...

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 ...