Results 61 to 70 of about 2,707 (200)

Synthesising 2D Video from 3D Motion Data for Machine Learning Applications

Sensors, 2022
To increase the utility of legacy, gold-standard, three-dimensional (3D) motion capture datasets for computer vision-based machine learning applications, this study proposed and validated a method to synthesise two-dimensional (2D) video image frames ...
Marion Mundt, Henrike Oberlack, Molly Goldacre, Julia Powles, Johannes Funken, Corey Morris, Wolfgang Potthast, Jacqueline Alderson   +7 more
doaj   +1 more source

Decoding Preschool Social Dynamics: Automated Tracking of Spatial and Temporal Patterns to Investigate Social Interactions and Relationships in Peer Groups

Developmental Science, Volume 29, Issue 4, July 2026.
ABSTRACT In this study, we applied machine learning tools to automatically track the positions of preschool children in a natural free play setting and derived spatial and temporal features from these data to identify social interactions between them.
Gabriela Markova, Jozsef Arato, Ruzena Ceral, Maximilian Hofbauer, Cliodhna Quigley, Lisa Horn   +5 more
wiley   +1 more source

Types of anomalies during gait using OpenPose.

, 2023
The left panel shows the OpenPose skeletal model and the name of each part. The right panel shows the anomaly types corresponding to those in Table 1. Estimation accuracy in Table 1 is excluded from the figure for convenience of illustration.
Yusuke Matsui (2047393), Yuki Sugiyama (700018), Kohei Uno (14342212)   +2 more
core   +1 more source

Nonlinear analysis of classic ballet movement and Kansei information using rough set theory

Nihon Kikai Gakkai ronbunshu
Classical ballet and other forms of dance have both aspects of sports competition and artistic performance. Dancers require not only the technical skill to control body movements but also the expressive ability to effectively and impressively convey ...
Teruaki ITO, Emiri TOMOSHIGE, Takashi OYAMA, Effendi MOHAMAD   +3 more
doaj   +1 more source

Computer Vision Analysis for Objective Motor Assessment in Parkinson's Disease: A Retrospective Study

Movement Disorders Clinical Practice, Volume 13, Issue 5, Page 1266-1276, May 2026.
Abstract Background The Movement Disorder Society‐Unified Parkinson's Disease Rating Scale‐Part III (MDS‐UPDRS‐III) is subjective and insensitive to subtle changes in patients with Parkinson's disease (PD). Computer vision (CV) can extract objective kinematics from routine outpatient videos, potentially augmenting the accuracy of the motor assessment ...
Pasquale Maria Pecoraro, Luca Marsili, Antonio Cannavacciuolo, Kevin R. Duque, Jesus Abanto, Jennifer Sharma, Jennifer Scheler, Heba A. Deraz, Lauren Wingler, Vincenzo Di Lazzaro, Alberto J. Espay, Lazzaro di Biase, Matteo Bologna   +12 more
wiley   +1 more source

Evaluation of Vision-Based Hand Tool Tracking Methods for Quality Assessment and Training in Human-Centered Industry 4.0

Applied Sciences, 2022
Smart industrial workstations for the training and evaluation of workers are an innovative approach to face the problems of manufacturing quality assessment and fast training. However, such products do not implement algorithms that are able to accurately
Irio De Feudis, Domenico Buongiorno, Stefano Grossi, Gianluca Losito, Antonio Brunetti, Nicola Longo, Giovanni Di Stefano, Vitoantonio Bevilacqua   +7 more
doaj   +1 more source

I like to move it, move it:Package for social scientists who want to use OpenPose

, 2020
Package with OpenPose for dummies manual, R-script to transform OpenPose output into correctly ordered csv-file, poster presentation, and demo-video that can be used to try ...
Marie H. Repgen, Repgen, Marie H., Lisette de Jonge-Hoekstra, de Jonge-Hoekstra, Lisette   +3 more
core   +1 more source

An Inquiry-Based Learning Support System for Children in Sports Acquisition Processes

Journal of Digital Life
This study examined an inquiry-based learning support system for children in sports acquisition processes and describes the characteristics of a case study on the long-term collaborative process of children’s forward and backward cycle practices on ...
Masayuki Yamada, Yuta Ogai, Sayaka Tohyama   +2 more
doaj   +1 more source

Sitting Posture Recognition Based on OpenPose

IOP Conference Series: Materials Science and Engineering, 2019
Abstract Sedentary and poor sitting posture can damage the health of adolescents. Therefore, it is very practical to effectively detect the sitting posture of students in the classroom and to warn the bad sitting posture. This paper proposed an in-class student sitting posture recognition system based on OpenPose, which uses the monitor ...
openaire   +1 more source

Thinking Critically About Algorithms for Automated Detection of Behavior: 11 Guidelines for Social and Behavioral Scientists

Developmental Science, Volume 29, Issue 3, May 2026.
ABSTRACT Developmental psychologists are increasingly leveraging mobile and wearable sensors paired with machine learning and artificial intelligence (AI) to automatically detect the everyday behaviors and interactions theorized to drive development.
Kaya de Barbaro, Anna Madden‐Rusnak, Adela Timmons   +2 more
wiley   +1 more source