Results 91 to 100 of about 2,707 (200)
Real-time pose estimation and motion tracking for motion performance using deep learning models
With the refinement and scientificization of sports training, the demand for sports performance analysis in the field of sports has gradually become prominent.
Liu Long, Dai Yuxin, Liu Zhihao
doaj +1 more source
Tracking of a Human Body in Motion using OpenPose Library
Problem precizne digitalizacije kretanja ljudskog tijela nije popularan samo u industriji vizualnih efekata, već i u biomehanici, robotici i za općenito razumijevanje podsvjesnog ljudskog ponašanja.
Šparemblek, Daniel Rey
core
Analyzing video footage of falls in older adults has emerged as an alternative to traditional lab studies. However, this approach is limited by the labor-intensive process of manually labeling body parts.
Reese Michaels +4 more
doaj +1 more source
Student Behavior Recognition in Classroom Based on Deep Learning
With the widespread application of information technology in education, the real-time detection of student behavior in the classroom has become a key issue in improving teaching quality.
Qingzheng Jia, Jialiang He
doaj +1 more source
1 ABSTRACT Title: Comparing physiotherapist's functional test assessments with OpenPose kinematic data Objectives: Assess wether is OpenPose (OP) system able to detect parameters of poor performance in the Single Leg Squat Test and Step Down Test ...
Turna, Matyáš
core
Inada, Kentaro +2 more
openaire +1 more source
2D skeletons, including facial landmarks and hand details are automatically extracted using the OpenPose library [18].
Charlotte E. R. Edmunds (5873927) +3 more
core +1 more source
Evaluation for the Synchronization of the Parade with OpenPose
Yohei Okugawa +3 more
openaire +2 more sources
The rapid development of computer technology and increasing focus on physical fitness have spurred the application of deep learning in sports training.
Li Fan
doaj +1 more source
Federated learning is increasingly being considered for sensor-driven human activity recognition, offering advantages in terms of privacy and scalability compared to centralized methods. However, challenges such as feature selection and client imbalanced
Zahraa Khduair Taha +8 more
doaj +1 more source

