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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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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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Robot Motion Control Using OpenPose
2021Machine learning, computer vision, and artificial intelligence are an emerging topic in the field of robotics. Human cation recognition comes under computer vision and artificial intelligence which help to estimate the human body position. OpenPose is an open-source tool developed by Carnegie Mellon University that estimates human body parts by ...
C. Vighneshwara +2 more
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Human Gait Analysis Using OpenPose
2019 Fifth International Conference on Image Information Processing (ICIIP), 2019Gait analysis refers to the scientific study of body movements that are responsible for locomotion in human beings. Gait parameters are known to be reliable indicators of neuromuscular and skeletal health. Gait analysis is used in the design of therapeutic paradigms for stroke and spinal cord injury rehabilitation.
Aditya Viswakumar +3 more
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Pedestrian Skeleton Tracking Using OpenPose and Probabilistic Filtering
2020 IEEE Congreso Bienal de Argentina (ARGENCON), 2020An essential task to prevent pedestrian injuries by an autonomous vehicle is the ability to correctly detect and predict its movement. A deep learning-based 2D human poses detector, as OpenPose, provides a skeleton of people present in an image captured by cameras mounted in the car.
Santiago Gerling Konrad, Favio R. Masson
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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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Comparing Gestural Interfaces using Kinect and OpenPose
2019CCS Concepts: Human-centered computing --> User interface programming; Virtual reality; Collaborative and social computing systems and ...
Rahman, Aminur +2 more
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OpenPose’s Evaluation in The Video Traditional Martial Arts Presentation
2019 19th International Symposium on Communications and Information Technologies (ISCIT), 2019Preserving, maintaining and teaching traditional martial arts are very important activities in social life. That helps individuals preserve national culture, exercise and self-defense for people. However, traditional martial arts have many different postures and activities of the body and body parts.
Van-Hung Le +3 more
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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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Improved Human-Object Interaction Based Lightweight Openpose
2022 International Conference on 3D Immersion, Interaction and Multi-sensory Experiences (ICDIIME), 2022Hanmin Yang, Qingyuan Liu, Jiali Zhang
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