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 ...
Instructors and students can give more visible feedback through live gestures by using new raise hand and thumbs-up đź‘Ť gesture recognition. This feature will automatically display a corresponding ...
The electromyographic(EMG) signal is the bioelectrical current generated during muscle contraction. It can be transmitted as an input signal to an intelligent bionic prosthetic hand to control hand ...
This article presents the 4th part of the HMI application series, which is controlling systems using low-cost gesture recognition technology. This article presents the 4th part of the HMI application ...
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 ...
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 ...
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