1 Graduate School of Health Sciences, Hokkaido University, Sapporo, Japan 2 Department of Physical Therapy, Faculty of Health Sciences, Hokkaido University of Science, Sapporo, Japan 3 Faculty of ...

Abstract: The paper reports the performance of a low-cost markerless system for 3D human motion detection and tracking, consisting of the open-source library OpenPose, two webcams and a linear ...

OpenPose uses deep learning models to detect human body and hand key-points from 2D images or videos, and it provides an easy-to-use interface for developers to integrate this functionality into their ...

Abstract: In the realm of computer-assisted learning, video tutorials have gained significant traction for teaching various sports, including basketball. However, these tutorials often suffer from ...

OpenPose has represented the first real-time multi-person system to jointly detect human body, hand, facial, and foot keypoints (in total 135 keypoints) on single images. We show an inference time ...

This study tested the performance of OpenPose on footage collected by two cameras at 200 Hz from a real-life competitive setting by comparing it with manually analyzed data in SIMI motion. The same ...

20-year-old Katie loves tutorial porn. The university student, who is using her first name only for privacy reasons, tells Mashable that it helped her to understand sex during a time where it ...

This Microsoft Word beginner guide provides free & basic lessons, tutorials & fundamentals for learning MS Office Word software. Microsoft Word is everyone’s favorite text editor. With so many ...

OpenPose is a Real-time multiple-person detection library, and it’s the first time that any library has shown the capability of jointly detecting human body, face, and foot keypoints. Thanks to Gines ...