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 ...

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 ...

Doctoral student Chi-Jung Lee demonstrates the WatchHand device, which potentially could allow people to move screens on their computers without a mouse or tracking pad. Jason Koski / Cornell ...

Summary: Capturing the complex coordination of the human hand—which involves 34 muscles and 22 degrees of freedom—has been a “holy grail” for robotics and VR. Engineers have developed a wearable ...

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The next time you're scrolling on 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 ...

Abstract: This work introduces PyGesture, a real-time hand-tracking system designed for gesture-based drawing interfaces using the MediaPipe Hands framework and EasyOCR for optical character ...

Abstract: Accurate hand tracking is a fundamental requirement for sign language recognition and human computer interaction. However, reliable tracking remains challenging due to the high degrees of ...

With the rebuild finally in sight, this episode focuses on salvaging handmade tools lost to fire—testing vinegar versus Evapo-Rust, using ultrasonic cleaning and tumbling, and re-handling iron tools ...