Results 21 to 30 of about 2,295 (204)
Controlling Video Stimuli in Sign Language and Gesture Research: The OpenPoseR Package for Analyzing OpenPose Motion-Tracking Data in R [PDF]
Frontiers in Psychology, 2020 Researchers in the fields of sign language and gesture studies frequently present their participants with video stimuli showing actors performing linguistic signs or co-speech gestures. Up to now, such video stimuli have been mostly controlled only for some of the technical aspects of the video material (e.g., duration of clips ...
Patrick C. Trettenbrein +2 more
openaire +6 more sources
Pose2Sim: An End-to-End Workflow for 3D Markerless Sports Kinematics—Part 1: Robustness
Sensors, 2021 Being able to capture relevant information about elite athletes’ movement “in the wild” is challenging, especially because reference marker-based approaches hinder natural movement and are highly sensitive to environmental conditions. We propose Pose2Sim,
David Pagnon +2 more
doaj +1 more source
Journal of Biomechanical Science and Engineering, 2023 This study aims to establish a monocular camera-based system that uses a generative adversarial network (GAN) to estimate a 3D pose of a human and his/her orientation relative to the camera from images by considering anatomical knowledge such as segment ...
Akisue KURAMOTO +2 more
doaj +1 more source
A Video-based Detector for Suspicious Activity in Examination with OpenPose
CoRR, 2023 Examinations are a crucial part of the learning process, and academic institutions invest significant resources into maintaining their integrity by preventing cheating from students or facilitators. However, cheating has become rampant in examination setups, compromising their integrity.
Reuben Moyo +3 more
openaire +2 more sources
Baseball Action Classification Based on OpenPose
Academic Journal of Science and Technology, 2023 This research presents an innovative approach to sports analytics through the application of Convolutional Neural Networks (CNNs) and OpenPose, a real-time pose estimation technology, for the classification of baseball actions. Focused on the accurate categorization of key baseball movements—Pitching, Batting, Fielding, Throwing, Base Running ...
Zhanhao Liang +1 more
openaire +1 more source
The Real-Time Depth Estimation for an Occluded Person Based on a Single Image and OpenPose Method
Mathematics, 2020 In recent years, the breakthrough of neural networks and the rise of deep learning have led to the advancement of machine vision, which has been commonly used in the practical application of image recognition.
Yu-Shiuan Tsai +3 more
doaj +1 more source
OMUZ HASARLI HASTALAR İÇİN COCOMODEL İLE TELEREHABİLİTASYON UYGULAMASI
Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi, 2022 Dünyada engelli sayısının artmasıyla birlikte fizyoterapiye ihtiyaç duyan insanların sayısı da artmaktadır. Gelişmiş teknolojileri kullanan telerehabilitasyon sistemleri, geleneksel fizyoterapi yöntemlerine göre avantajlara sahiptir.
Burakhan Çubukçu +2 more
doaj +1 more source
Human Pose Detection for Robotic-Assisted and Rehabilitation Environments
Applied Sciences, 2021 Assistance and rehabilitation robotic platforms must have precise sensory systems for human–robot interaction. Therefore, human pose estimation is a current topic of research, especially for the safety of human–robot collaboration and the evaluation of ...
Óscar G. Hernández +3 more
doaj +1 more source
Public Corpus OpenPose frame extractor
, 2023 The Public DGS Corpus provides OpenPose data for all of its transcripts. Each transcript collects all of its pose information in a single file, using the DGS-Korpus OpenPose wrapper format.
Schulder, Marc
core +1 more source
The ‘DEEP’ Landing Error Scoring System
Applied Sciences, 2020 The Landing Error Scoring System (LESS) is an injury-risk screening tool used in sports; but scoring is time consuming, clinician-dependent, and generally inaccessible outside of elite sports.
Kim Hébert-Losier +4 more
doaj +1 more source