Results 1 to 10 of about 5,633 (210)

Multiview 3D Markerless Human Pose Estimation from OpenPose Skeletons [PDF]

open access: green, 2020
Despite the fact that marker-based systems for human motion estimation provide very accurate tracking of the human body joints (at mm precision), these systems are often intrusive or even impossible to use depending on the circumstances, e.g. markers cannot be put on an athlete during competition. Instrumenting an athlete with the appropriate number of
Maarten Slembrouck   +8 more
openaire   +3 more sources

Controlling Video Stimuli in Sign Language and Gesture Research: The OpenPoseR Package for Analyzing OpenPose Motion-Tracking Data in R [PDF]

open access: goldFrontiers 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   +8 more sources

Evaluating Assistive Technology Outcomes in Boccia Athletes with Disabilities Using AI-Based Kinematic Analysis [PDF]

open access: yesBioengineering
This study explores how artificial intelligence (AI) can support the evaluation of assistive technology outcomes in adaptive sports, focusing on elite boccia athletes with disabilities.
Wann-Yun Shieh   +4 more
doaj   +2 more sources

Fall detection based on OpenPose and MobileNetV2 network

open access: yesIET Image Processing, 2023
The proposed fall detection approach is aimed at building a support system for the elders. In this work, a method based on human pose estimation and lightweight neural network is used to detect falls.
Mengqi Gao   +5 more
doaj   +2 more sources

Comparing the Accuracy of Markerless Motion Analysis and Optoelectronic System for Measuring Gait Kinematics of Lower Limb [PDF]

open access: yesBioengineering
(1) Background: Marker-based optical motion tracking is the gold standard in gait analysis; however, markerless solutions are rapidly emerging today. Algorithms like Openpose can track human movement from a video.
Luca Emanuele Molteni, Giuseppe Andreoni
doaj   +2 more sources

Indoors Fitness Training Monitoring based on OpenPose

open access: diamondJOURNAL OF ADVANCED APPLIED SCIENTIFIC RESEARCH
With the continuation of the COVID-19 pandemic, people's daily life has changed. The changing life habits are reflected in the increasing number of hours working at home. Mostly affected is physical fitness, because of limitations or fear of the gym/outdoors or effective exercise indoors.
null J.Haoran   +2 more
openaire   +3 more sources

Comparing Gestural Interfaces using Kinect and OpenPose

open access: green, 2019
CCS Concepts: Human-centered computing --> User interface programming; Virtual reality; Collaborative and social computing systems and ...
Rahman, Aminur   +2 more
openaire   +2 more sources

Estimation of human body 3D pose for parent-infant interaction settings using azure Kinect and OpenPose

open access: greenMethodsX
Automatic pose estimation has become a valuable tool for the study of human behavior, including dyadic interactions. It allows researchers to analyze the nuanced dynamics of interactions more effectively, and facilitates the integration of behavioral ...
Françoise Diaz-Rojas, Masako Myowa
doaj   +2 more sources

AI Video Analysis in Parkinson’s Disease: A Systematic Review of the Most Accurate Computer Vision Tools for Diagnosis, Symptom Monitoring, and Therapy Management [PDF]

open access: yesSensors
Background. Clinical assessment of Parkinson’s disease (PD) is limited by high subjectivity and inter-rater variability. Markerless video analysis, namely Computer Vision (CV), offers objective and scalable characterization of motor signs.
Lazzaro di Biase   +2 more
doaj   +2 more sources

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