Results 61 to 70 of about 2,295 (204)

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

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

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

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

Research on the application of OpenPose in escalator safety systems

Journal of Physics: Conference Series, 2022
Abstract This paper describes the application of the OpenPose based human pose detection model in escalator safety systems. The YOLO target detection is used to obtain the position of the human body in the image, and then the human limb information is extracted by OpenPose, and the human joint connection algorithm connects the identified
openaire   +1 more source

Video-Based Deep Learning Approach for 3D Human Movement Analysis in Institutional Hallways: A Smart Hallway

Computation, 2021
New artificial intelligence- (AI) based marker-less motion capture models provide a basis for quantitative movement analysis within healthcare and eldercare institutions, increasing clinician access to quantitative movement data and improving decision ...
Connor J. C. McGuirk, Natalie Baddour, Edward D. Lemaire   +2 more
doaj   +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

Making Machine Learning Accessible for Developmental Science: The Case of Automated Face Detection

Developmental Science, Volume 29, Issue 3, May 2026.
ABSTRACT The last decade has seen rapid advancements in machine learning, significantly transforming fields like cybersecurity and healthcare. Developmental science has been slower to adopt these technologies. Yet, machine learning holds immense potential to transform this field, enabling scalable and data‐driven insights into developmental processes ...
Teodor Y. Nikolov, Julia Yurkovic‐Harding, Tamas Foldes, Jessica Bradshaw, Yu‐Kun Lai, Hana D'Souza   +5 more
wiley   +1 more source

Interactive Sports Auxiliary Training Architecture Based on Computer Contact Point Constraints

Engineering Reports, Volume 8, Issue 4, April 2026.
An interactive sports auxiliary training architecture based on computer contact position constraints is proposed, which uses an improved object detection algorithm to achieve accurate detection of contact points. It improves the real‐time and accuracy of contact point detection and motion trajectory analysis, providing an efficient solution for ...
Minghui Zhu
wiley   +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