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 ...
A system that can recognize human gestures could provide a new way for people with physical disabilities to interact with computers. A related system for the able bodied could also be used to make ...
To learn more about the MGC3030, visit http://www.microchip.com/MGC3030-Page-012015a. Watch a short video on GestIC technology, here: http://www.microchip.com/Video ...
TAIPEI, Taiwan--(BUSINESS WIRE)--PointGrab Ltd. today announced that ASUS, one of the world’s top leaders of computer PC solutions, has selected PointGrab’s award-winning gesture recognition software ...
This is where it’s about to get a bit more technical… buckle up! We’re currently using Unreal Engine 4.27.2 for Myst. Meta has some base code for hand tracking in Unreal—but not enough for a game like ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback