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Comparing Gestural Interfaces using Kinect and OpenPose
2019CCS Concepts: Human-centered computing --> User interface programming; Virtual reality; Collaborative and social computing systems and ...
Aminur Rahman +2 more
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Baseball Swing Pose Estimation Using OpenPose
2021 IEEE International Conference on Robotics, Automation and Artificial Intelligence (RAAI), 2021This study explores usefulness of using the human pose estimation technique in sport. Since the expansion of deep learning techniques, human pose estimation became an important field of computer vision, it can be used in many applications like pose analysis, correction, training session, etc.
Yung-Che Li +3 more
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Evaluation of OpenPose for Quantifying Infant Reaching Motion
Archives of Physical Medicine and Rehabilitation, 2021Research Objectives To evaluate the ability of OpenPose to automatically track infant reaching motion. OpenPose is an open-source real-time 2D pose estimation software that automatically detects facial and body (including hand and foot) key points. It has been mainly used for pose estimation of adults, children, and infants lying in supine position ...
Ipsita Sahin, Arjun Modi, Elena Kokkoni
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Pose Estimation of Hurdles Athletes using OpenPose
2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 2021Automatic 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
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A Feature Importance Study in Ballet Pose Recognition with OpenPose
2020Movements of the human body can finally be recognised and analysed using computer vision technology. Ballet is an activity that involves various movements and specific poses of the body, making it an attractive candidate for computer vision applications.
Margaux Fourie, Dustin van der Haar
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Prediction of Basketball Free Throw Shooting by OpenPose
2019OpenPose, 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
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Real-time human gesture grading based on OpenPose
2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2017In 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
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Visualization Method of Movement of Teachers and Students in Classroom using OpenPose
International Conference on Computers in Education, 2021This 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
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Joint Position Registration between OpenPose and Motion Analysis for Rehabilitation
2020 IEEE 50th International Symposium on Multiple-Valued Logic (ISMVL), 2020We 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
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Human Cross-Border Alarm Detection Method Based on OpenPose
2021Cross border detection is often used to monitor the behavior of people in specific places where people often entry and exit, people may cross some unsafe or forbidden borders, thus causing dangerous behaviors, such as large power plant or electrical equipment room.
Hang Yu +3 more
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