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ITHACA, N.Y. – New first-of-its-kind wearable technology from researchers at Cornell University and the Korea Advanced Institute of Science and Technology equips off-the-shelf smartwatches with ...
In a first, smartwatches track hand poses using AI acoustic sensing without added hardware.Jason Koski/Cornell University Researchers from Cornell University and KAIST have developed a system that ...
Discover the entire process of building a robust, custom hand-cranked metal bending machine, from selecting raw materials to delivering precise U-shape bends. This in-depth metalworking tutorial ...
Unlock the secrets of mastering hand drawing with these foundational tutorials every artist needs! Whether you're a beginner or looking to refine your skills, this video covers essential techniques, ...
Abstract: We address the challenging task of identifying, segmenting, and tracking hand-held objects, which is crucial for applications such as human action segmentation and per-formance evaluation.
Abstract: We introduce HOT3D, a publicly available dataset for egocentric hand and object tracking in 3D. The dataset offers over 833 minutes (3.7M+ images) of recordings that feature 19 subjects ...
The next time you’re scrolling your phone, take a moment to appreciate the feat: The seemingly mundane act is possible thanks to the coordination of 34 muscles, 27 joints, and over 100 tendons and ...