3D hand pose estimation represents a pivotal research area at the intersection of computer vision and human‐computer interaction. Recent advances have enabled the extraction of intricate hand joint ...
Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...
No matter where you sit on the enormous and complex debate regarding AI models and their use of datasets to generate new images, artworks, writing and even movies, there’s one thing everyone can agree ...
A new wristband device developed by researchers at Cornell University utilizes AI and inaudible soundwaves to detect hand positions and interactions with objects. The device, called EchoWrist, has ...
Mercedes-Benz Group has patented a method for identifying hand poses in vehicles using neural networks. The technology involves extracting hand images from vehicle images, processing contextual images ...
The proposed framework will enable robots to accurately and more efficiently handle complex objects, while also advancing augmented reality technologies to support more lifelike hand-object ...
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