Conventional markerless tracking methods struggle with body part misestimations or missing estimates in crowded spaces. In vmTracking, markerless multi-animal tracking is performed on a video ...

When it comes to tracking the positions of a person's moving hand, sensor-equipped gloves are often used. An experimental new system, however, utilizes a wrist-mounted camera … which doesn't even "see ...

Three-dimensional object tracking and pose estimation represent a pivotal area of research in computer vision, with applications ranging from augmented reality to autonomous navigation and robotics.

Cornell's Smart Computer Interfaces for Future Interactions (SciFi) lab has unveiled PoseSonic, its latest innovation in sonar-equipped wearables. PoseSonic takes the form of regular eyeglasses but ...

As virtual and augmented reality steadily advance in both visual fidelity and headset comfort, researchers continue to work on input solutions that will feel more natural than holding controllers.

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 ...

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In a WWDC 2020 developer session called "Detect Body and Hand Pose with Vision" led by engineer Brett Keating, Apple revealed significant updates to its Vision framework. Developers for iOS 14 and ...