Results 31 to 40 of about 5,633 (210)
OMUZ HASARLI HASTALAR İÇİN COCOMODEL İLE TELEREHABİLİTASYON UYGULAMASI
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
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
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
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
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]
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]
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
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]
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
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

