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Robot Motion Control Using OpenPose
Lecture Notes in Electrical Engineering, 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 ...
K Praveen Shenoy
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Modeling the Behaviors of Participants in Meetings for Decision Making Using OpenPose
Advances in Intelligent Systems and Computing, 2020This paper discusses the modeling for interactions between the behaviors of participants in a meeting for decision making. First, we adopt the behaviors (i.e., eye, facial, and hand movements) detected by OpenPose [9] as a skeleton detection algorithm using a single camera.
Eiji Watanabe +2 more
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Ergonomic postural assessment using a new open-source human pose estimation technology (OpenPose)
Observational ergonomic postural assessment methods have been commonly used to evaluate the risks of musculoskeletal disorders. Researchers have proposed semi-automatic methods using Kinect, known for limitations with body occlusions and non-frontal ...
Woojoo Kim, Daniel Saakes, Shuping Xiong
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Towards balance assessment using Openpose
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021The ability to assess balance is essential to determine a patients ability to mitigate any risk of falling. While current assessment tools exist, they either have limitations in that there is no quantitative data recorded, or that they are impractical for general use in clinical settings.
Brighton Li +4 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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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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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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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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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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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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