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Prediction of Basketball Free Throw Shooting by OpenPose

2019
OpenPose, which is developed by Carnegie Mellon University (CMU) presented in CVPR 2017, takes in real-time motion images via a simple web camera and is capable of recognizing skeletons of multiple persons in these images. It also generates recognized skeleton point coordinates to files.
Masato Nakai   +3 more
openaire   +2 more sources

Visualization Method of Movement of Teachers and Students in Classroom using OpenPose

International Conference on Computers in Education, 2021
This study proposes a method to visualize the movement of teachers and students in a classroom using OpenPose. With the Proposed method, the activities such as sitting, joining the class late, moving, and discussing in pairs were visualized. The method has those two advantages: human movement can be visualized semi-automatically from video data and as ...
Misato Futatsuishi   +2 more
openaire   +2 more sources

Real-time human gesture grading based on OpenPose

2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2017
In this paper, we presented a real-time 2D human gesture grading system from monocular images based on OpenPose, a library for real-time multi-person keypoint detection. After capturing 2D positions of a person's joints and skeleton wireframe of the body, the system computed the equation of motion trajectory for every joint.
Sen Qiao, Yilin Wang, Jian Li
openaire   +2 more sources

Pose Estimation of Hurdles Athletes using OpenPose

2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 2021
Automatic athlete pose estimation from images has recently received considerable attention from the computer vision community to understand the correct pose of athletes during training or competitions. However, human pose estimation from images or videos is still a challenging task because of inadequate training data, depth obscurity, and occlusion. In
Farahnakian Fahimeh   +4 more
openaire   +1 more source

Joint Position Registration between OpenPose and Motion Analysis for Rehabilitation

2020 IEEE 50th International Symposium on Multiple-Valued Logic (ISMVL), 2020
We developed a registration system between OpenPose and Motion Analysis, that is a gold standard of human motion analysis, to evaluate the accuracy of human joint position. We took the data of the both for walking ten healthy persons: five males and five females. The registration result was evaluated by comparing with their obtained data.
Kazuki Otsuka   +4 more
openaire   +2 more sources

CASRM: Cricket Automation and Stroke Recognition Model Using OpenPose

2020
With the rapid changes within sport, specifically cricket, technology has been used to cater to the challenges faced within the domain. However, research within the field of study has shown that there is a gap to bridge in the way of establishing a cost-effective means to recognize different cricketing strokes.
Tevin Moodley, Dustin van der Haar
openaire   +1 more source

Indoor Fall Detection Based on Yolov5 And Openpose

2022 4th International Academic Exchange Conference on Science and Technology Innovation (IAECST), 2022
Yingying Shi   +3 more
openaire   +1 more source

Openpose based motion posture evaluation system

International Conference on Computer Vision, Application, and Algorithm (CVAA 2022), 2023
Peilong Lu   +5 more
openaire   +1 more source

Automatic Evaluation of Learning Behaviors for Online Lectures by OpenPose

2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech), 2022
Taisuke Kawamata, Takako Akakura
openaire   +2 more sources

Human Action Recognition Method using YOLO and OpenPose

2022 13th International Conference on Information and Communication Technology Convergence (ICTC), 2022
Bigyeol Choi, Wonyoung An, Hyunwoo Kang
openaire   +2 more sources

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