Results 31 to 40 of about 5,633 (210)

OMUZ HASARLI HASTALAR İÇİN COCOMODEL İLE TELEREHABİLİTASYON UYGULAMASI

open access: yesEskişehir 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

open access: yesApplied 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

open access: yes, 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

UAV manipulation by hand gesture recognition

open access: yesSICE 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

Relationship Between the Results of Arm Swing Data From the OpenPose-Based Gait Analysis System and MDS-UPDRS Scores

open access: yesIEEE 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]

open access: yes, 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

Tex2Shape: Detailed Full Human Body Geometry From a Single Image [PDF]

open access: yes, 2019
We present a simple yet effective method to infer detailed full human body shape from only a single photograph. Our model can infer full-body shape including face, hair, and clothing including wrinkles at interactive frame-rates.
Alldieck, T.   +3 more
core   +4 more sources

A Framework for Fall Detection Based on OpenPose Skeleton and LSTM/GRU Models

open access: yesApplied Sciences, 2020
Falling is one of the causes of accidental death of elderly people over 65 years old in Taiwan. If the fall incidents are not detected in a timely manner, it could lead to serious injury or even death of those who fell.
Chuan-Bi Lin   +3 more
doaj   +1 more source

A Confidence-Based Multibody Kinematics Optimization for Markerless Motion Capture: A Proof of Concept. [PDF]

open access: yesInt J Numer Method Biomed Eng
Using 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

Application of OpenPose and deep learning for intelligent surveillance reconnaissance system

open access: yes선진국방연구, 2020
In this study, defense surveillance reconnaissance systems were implemented through deep learning networks such as OpenPose and deep neural networks (DNN), convolutional neural networks (CNN), and long short-term memory (LSTM).
Kyujung Choi, Suyeong Oh, Chaebong Sohn
doaj   +3 more sources

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