Results 81 to 90 of about 2,295 (204)

Evaluating the Accuracy of a Vision‐Based Algorithm for Groundline Estimation in Trotting Horses Using Multiple Camera Angles

Veterinary Medicine and Science, Volume 12, Issue 1, January 2026.
A markerless, computer vision‐based algorithm (RealHorse) was evaluated for estimating the groundline in trotting horses from multiple camera angles, including handheld recordings, on a treadmill. The algorithm showed high agreement with a fixed reference, with a groundline angle absolute error of 0.45° and stride‐level Maxdiff and Mindiff absolute ...
Karsten Key, Katja Berg, Jakob Kirkegaard, Kristian Ringkjær Andresen, Sabrina Skov Hansen   +4 more
wiley   +1 more source

CLS‐Transformer for Home Service Robots: A Lightweight Action Recognition Model Based on Skeleton and Native Length Encoding

IET Image Processing, Volume 20, Issue 1, January/December 2026.
The paper presents a native length encoding approach alongside a human skeleton‐based action recognition model (named CLS‐Transformer) for home service robots. The model incorporates a novel cue coding strategy that captures richer feature information. The experimental results demonstrate that CLS‐Transformer achieves superior recognition accuracy and ...
Jie Shen, Yuming Zhang, Xiaoyang Li, Meng Zhou, Wenfan Wang, Dawei Zhang   +5 more
wiley   +1 more source

Estimation of human body 3D pose for parent-infant interaction settings using azure Kinect and OpenPose

MethodsX
Automatic pose estimation has become a valuable tool for the study of human behavior, including dyadic interactions. It allows researchers to analyze the nuanced dynamics of interactions more effectively, and facilitates the integration of behavioral ...
Françoise Diaz-Rojas, Masako Myowa
doaj   +1 more source

GSDF‐Gait: A GCN and Self‐Attention Dynamic Fusion Network for Gait‐Based Person Recognition

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
Graph convolutional networks (GCNs) are extensively used for skeleton‐based gait recognition. Nevertheless, despite significant improvements, a substantial challenge lies in the restricted receptive field of GCNs. However, separate structural joints could also reveal a notably important correlation.
Md. Khaliluzzaman, Kaushik Deb, Nasimul Noman   +2 more
wiley   +1 more source

Markerless Motion Capture Berbasis Openpose Model Menggunakan Metode Triangulasi [PDF]

, 2020
Human Pose Estimation merupakan salah satu topik menarik pada visi komputer. Dalam penelitian sebelumnya, Openpose telah berhasil menerapkan human pose estimation dalam bentuk 2D.
Solichah, Uti
core  

Pose estimation with OpenPose on RAFT/XMem-extracted frames.

, 2023
(a) take-off, (b) pike-mount, and (c) final position before thrust. Using OpenPose, we estimated the x- and y-coordinates of the wheel gymnast’s nose, neck, shoulders, elbows, wrists, hips, knees, ankles, and toes, displayed in the colored points from ...
Takashi Sato (140116), Koji Kurata (16437450), Eiji Kitajima (670659), Ryota Miyata (476502)   +3 more
core   +1 more source

Enabling Passive Gait Identification in Realistic and Uncontrolled Environments Using Deep Learning and Spatiotemporal Biometrics

International Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.
Person identification is a pivotal challenge in the security domain, with important and impactful applications such as identifying crime suspects and locating missing persons. One convenient person identification method is gait identification, where individuals are identified by their unique walking style.
Luke K. Topham, Wasiq Khan, Dhiya Al-Jumeily, Hoshang Kolivand, Omar Aldhaibani, Abir Hussain, Floriano Cuccureddu   +6 more
wiley   +1 more source

A Systematic Review on Sensor and Machine Learning Approaches in Fall Detection: Advancements, Challenges, and Future Directions

Journal of Sensors, Volume 2026, Issue 1, 2026.
Nowadays, fall detection systems are attracting attention in the literature due to the pressing need to alert caregivers promptly when an older adult or individual experiences a fall. Real‐time detection of falls may significantly reduce the risks of severe consequences.
Madikana Sydney Sediela, Noluntu Mpekoa, Pramita Mishra   +2 more
wiley   +1 more source

Detection of Signs of Fatigue in Functional Tests in Healthy Population by OpenPose [PDF]

, 2021
Autor: Bc. Tereza Skalová Název: Detekce znaků únavy ve vybraných funkčních testech u zdravé populace systémem OpenPose Cíl: Cílem je zjistit, zdali je systém OpenPose schopen u zdravé populace detekovat změny v rozsahu pohybu a výskyt souhybů jiných ...
Skalová, Tereza
core  

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