Results 61 to 70 of about 5,171 (172)

Key technologies for identifying abnormal behaviors in fully mechanized mining faces based on panoramic visualization

Meikuang Anquan
A lightweight human pose recognition model based on OpenPose improvement is proposed to address the difficulty of intelligent supervision of abnormal behaviors of coal mine workers.
Liang YANG, Peng WANG, Lijie LI, Weide WANG   +3 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

Integrating multimodal data and machine learning for entrepreneurship research

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
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‐Guided Automated External Defibrillator System Improves Cardiopulmonary Resuscitation Accuracy: A Randomized Crossover Trial

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, Hua Huang, Pengcheng Zhao, Yan Chen, Sixing Liu, Qun Wu, Wei Jing, Mingjie Yin, Yongyuan Li, Jiahuan Lu, Xicheng Zhang, He Xu, Yimu Ji   +12 more
wiley   +1 more source

Unsupervised 3D Pose Estimation with Geometric Self-Supervision

, 2019
We present an unsupervised learning approach to recover 3D human pose from 2D skeletal joints extracted from a single image. Our method does not require any multi-view image data, 3D skeletons, correspondences between 2D-3D points, or use previously ...
Agrawal, Amit, Chen, Ching-Hang, Drover, Dylan, MV, Rohith, Rehg, James M., Stojanov, Stefan, Tyagi, Ambrish   +6 more
core   +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, Michał Kosiedowski, Arkadiusz Radziuk, Erik Dovgan, Torsten Hammann, Meike Engelhardt, Christin Kupitz, Carmen Campomanes‐Alvarez, Dorota Janczewska, Peter Zentel, Mitja Luštrek   +10 more
wiley   +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

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, Xiangyu Zhou, Yifan Zhu, Yu Li, Chaoyi Zhang, Keao Wang, Zhaohong Mai, Chao Zeng   +7 more
wiley   +1 more source

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