Results 51 to 60 of about 3,076 (167)
Integrating OpenPose for Proactive Human–Robot Interaction Through Upper-Body Pose Recognition
ElectronicsThis paper introduces a novel system that utilizes OpenPose for skeleton estimation to enable a tabletop robot to interact with humans proactively. By accurately recognizing upper-body poses based on the skeleton information, the robot autonomously ...
Shih-Huan Tseng +3 more
semanticscholar +1 more source
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.Overview of fall‐detection approaches and technologies in geriatric care. ABSTRACT This systematic review provides a critical examination of fall detection (FD) technologies in geriatric care, analyzing both technological innovations and implementation challenges across diverse healthcare environments.
Hamid Ali +6 more
wiley +1 more source
Frontiers in Bioengineering and BiotechnologyIntroductionThis pilot study presents a 3D markerless motion capture system for table tennis using binocular cameras, based on the OpenPose framework and linear triangulation to obtain 3D joint motion data.
Ziwei Cao, Zikang Zhang, Yi Xiao
doaj +1 more source
Synthesising 2D Video from 3D Motion Data for Machine Learning Applications
Sensors, 2022 To increase the utility of legacy, gold-standard, three-dimensional (3D) motion capture datasets for computer vision-based machine learning applications, this study proposed and validated a method to synthesise two-dimensional (2D) video image frames ...
Marion Mundt +7 more
doaj +1 more source
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 +5 more
wiley +1 more source
Fall detection based on OpenPose and MobileNetV2 network
IET Image Processing, 2023 The proposed fall detection approach is aimed at building a support system for the elders. In this work, a method based on human pose estimation and lightweight neural network is used to detect falls.
Mengqi Gao +5 more
doaj +1 more source
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 +12 more
wiley +1 more source
A multi-modal detection method for holding ladders in underground climbing operations
Gong-kuang zidonghuaCurrently, most research on recognizing unsafe behaviors of underground personnel focuses on improving precision through computer vision. However, underground areas are prone to occlusion, unstable lighting, and reflection, making it difficult to ...
SUN Qing, YANG Chaoyu
doaj +1 more source
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 +7 more
doaj +1 more source
Discover Artificial IntelligenceTo achieve intelligent identification of dangerous behaviors of electric power workers in complex environment, a classification and identification method based on improved OpenPose algorithm is proposed.
Ningtao Liu +6 more
semanticscholar +1 more source