Results 61 to 70 of about 3,076 (167)
Nonlinear analysis of classic ballet movement and Kansei information using rough set theory
Nihon Kikai Gakkai ronbunshuClassical 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 +3 more
doaj +1 more source
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 +2 more
wiley +1 more source
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 +2 more
doaj +1 more source
Comparative Analysis of OpenPose, PoseNet, and MoveNet Models for Pose Estimation in Mobile Devices
Traitement du signal, 2022 Pose estimation is a significant strategy that has been actively researched in various fields. For example, the strategy has been adopted for motion capture in moviemaking, and character control in video games.
BeomJun Jo, Seong-Jong Kim
semanticscholar +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 +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
Annals of the New York Academy of Sciences, Volume 1558, Issue 1, April 2026.Intergenerational social programs provide opportunities for people of all ages to form new relationships, yet the physiological underpinnings of intergenerational relationship development remain unknown. We tracked cardiac synchrony as well as self‐report and behavioral measures of relationship development in 61 dyads (31 intergenerational; 30 same ...
Ryssa Moffat +2 more
wiley +1 more source
Real‐Time HRI: Human Hand Gesture Mapping for 7‐DoF Robotic Arm Operation
Concurrency and Computation: Practice and Experience, Volume 38, Issue 6, March 2026.ABSTRACT Existing gesture‐controlled robotic systems often decouple perception from control, resulting in delayed, discrete, and noncontinuous motion execution. To address these limitations, this study introduces a novel real‐time human‐robot interaction framework‐AI‐RTGM (Artificial Intelligence‐based Real‐Time Gesture Mapping)‐that unifies gesture ...
Sajjad Hussain +4 more
wiley +1 more source
Health Science Reports, Volume 9, Issue 2, February 2026.ABSTRACT Background and Aims Out‐of‐hospital cardiac arrests (OHCAs) remain a critical challenge in emergency care, as CPR effectiveness heavily relies on precise chest compressions. We propose a novel CPR guidance system using computer vision to track rescuer motion in real time.
Li Liu +12 more
wiley +1 more source
Machine learning-based classification of push techniques in speed skating
NOVASINERGIASpeed skating is a prestigious sport that requires technical skills and optimal physical condition. During training, computer vision and Machine Learning (ML) techniques can help improve skating performance and biomechanical analysis.
Ximena Albornoz Tepan +4 more
doaj +1 more source