Results 71 to 80 of about 2,707 (200)
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
YOGA POSE DETECTION USING OPENPOSE AND MEDIAPIPE
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2023 An abstract i.e. idea behind this yoga pose detection project using deep learning or neural network learning is that yoga popularity is increasing day by day because of its benefits. Doing yoga helps us physically, mentally as well as spiritually. Because of this many people nowadays are doing it regularly.
openaire +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
Evaluation of the range of motion of the upper limbs using the OpenPose program [PDF]
, 2021 Název: Hodnocení rozsahu pohybu horních končetin pomocí programu OpenPose Cíle: Cílem práce bylo zjistit, zda je možné využít program OpenPose jako nástroj pro měření rozsahu horní končetiny. Upozornit na jeho limity a zvážit, zda by šel program využít v
Sýkorová, Michaela
core
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
Intelligent Supportive System for People with Profound Intellectual and Multiple Disabilities
Advanced Intelligent Systems, Volume 8, Issue 1, January 2026.A holistic INSENSION system is developed—a novel intelligent decision support system leveraging state‐of‐the‐art noninvasive audio‐visual sensor technologies together with machine learning algorithms and expert knowledge, to detect and interpret behaviors and communications (nonverbal signals—NVSs) of people with PIMD in challenging real‐world ...
Gašper Slapničar +10 more
wiley +1 more source
A Human–Robot Collaboration Control Framework for Supernumerary Robotic Limbs
Journal of Field Robotics, Volume 43, Issue 1, Page 34-48, January 2026.ABSTRACT In this paper, a novel human–robot collaboration (HRC) framework is proposed to enhance the capability of Supernumerary Robotic Limbs (SRLs). The proposed framework consists of three key modules: human motion intention recognition, disturbance rejection control, and obstacle avoidance, all of which are crucial for SRLs in the process of HRC ...
Jing Luo +7 more
wiley +1 more source