Results 21 to 30 of about 5,171 (172)
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
A Confidence-Based Multibody Kinematics Optimization for Markerless Motion Capture: A Proof of Concept. [PDF]
Int J Numer Method Biomed EngUsing 2D confidence information in multibody kinematics optimization improved the robustness of markerless motion capture using two video cameras. The proposed method performs the optimization in 2D camera planes instead of in three dimensions, allowing for the computation of 3D kinematics even when 3D point reconstruction is impossible. ABSTRACT Multi‐
Chaumeil A +4 more
europepmc +2 more sources
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
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
Long-Term Human Video Generation of Multiple Futures Using Poses
, 2021 Predicting future human behavior from an input human video is a useful task for applications such as autonomous driving and robotics. While most previous works predict a single future, multiple futures with different behavior can potentially occur ...
A Newell +5 more
core +1 more source
Abnormal Infant Movements Classification With Deep Learning on Pose-Based Features [PDF]
, 2020 The pursuit of early diagnosis of cerebral palsy has been an active research area with some very promising results using tools such as the General Movements Assessment (GMA).
Embleton, Nicholas +5 more
core +4 more sources
UAV manipulation by hand gesture recognition
SICE Journal of Control, Measurement, and System Integration, 2022 In this study, we discuss a unmanned aerial vehicle operation system by recognizing human gestures. Here, we focus on both dynamic and static gestures, such as moving the right hand repeatedly or holding it in a certain position.
Shoichiro Togo, Hiroyuki Ukida
doaj +1 more source
IEEE Access, 2022 Motor functions of individuals with Parkinson’s disease (PD) have been studied by many methods such as sensors, 3D measurement devices, smartphone applications, and deep learning tools.
Kenta Abe +4 more
doaj +1 more source
PifPaf: Composite Fields for Human Pose Estimation [PDF]
, 2019 We propose a new bottom-up method for multi-person 2D human pose estimation that is particularly well suited for urban mobility such as self-driving cars and delivery robots.
Alahi, Alexandre +2 more
core +2 more sources