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 ...

Imagine watching a football match where an AI system tracks player movement in real time, analyzing their posture, speed, and even predicting potential injuries—all using just a video feed. Sounds ...

Have you ever wished you could generate interactive websites with HTML, CSS, and JavaScript while programming in nothing but Python? Here are three frameworks that do the trick. Python has long had a ...

Abstract: Inspired by the OpenPose model in computer vision, we propose a reduced-complexity deep learning (DL) model for indoor localization based on WiFi Channel State Information (CSI) preprocessed ...

This repository was created for the only purpose of showing a successful method for installing the CMU Perceptual Computing Lab's OpenPose, commit ...

Hello, I built openpose correctly on my Windows machine, everything works, imports work perfectly too. I wanted to create a python script where I wanted to put openpose import and in my main file I ...

Abstract: Assessing the difficulty of a Yoga pose is a challenging task, often dependent on individuals’ subjective judgement or consultation with professionals to choose poses that fit their needs.

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 ...

The objective is to develop a system to automatically select the corresponding assessment scales and calculate the score of the risk based on the joint angle information obtained from the imaged ...

Before writing this blog, I have gone through few research papers and implemented few of them. I got the best result using deep learning and resnet_50 CNN architecture, so writing this article on Open ...

Human movement researchers are often restricted to laboratory environments and data capture techniques that are time and/or resource intensive. Markerless pose estimation algorithms show great ...

There is a need within human movement sciences for a markerless motion capture system, which is easy to use and sufficiently accurate to evaluate motor performance. This study aims to develop a 3D ...