Results 61 to 70 of about 5,633 (210)
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
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
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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
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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
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Meikuang AnquanA 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 +3 more
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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
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
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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
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
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
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