Results 51 to 60 of about 2,707 (200)

Integrating multimodal data and machine learning for entrepreneurship research

open access: yesStrategic 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

Machine learning approaches in automated infant General Movements Assessment: A scoping review

open access: yesDevelopmental Medicine &Child Neurology, EarlyView.
Automated infant General Movements Assessment increasingly uses machine‐ and deep‐learning approaches to classify movement patterns and estimate cerebral palsy risk from video or sensor data. This scoping review highlights how dataset characteristics, recording environment, pose‐estimation accuracy, feature extraction, and model design influence system
Manpreet Kaur   +4 more
wiley   +1 more source

Butterworth filter in output from OpenPose.

open access: yes, 2022
Butterworth filter with 1 Hz, 2 Hz and 3 Hz cut off frequencies (c/o freq.) applied to the OpenPose signal of the thumb interphalangeal joint angle for one representative participant.
Letizia Gionfrida (14053664)   +3 more
core   +1 more source

Manipulating posture implicitly through environmental constraints influences mood and risk‐taking behaviour

open access: yesBritish Journal of Psychology, Volume 117, Issue 4, Page 1618-1630, November 2026.
Abstract Adopting physical expressions of emotion has feedback effects on individuals' mood and behaviour; for example, adopting the expansive and contractive body language of dominance and submission can affect individuals' feelings of power. However, postural feedback paradigms almost exclusively use deliberate, active posture manipulations, which ...
Soren Wainio‐Theberge, Jorge Armony
wiley   +1 more source

Validation of two-dimensional video-based inference of finger kinematics with pose estimation.

open access: yesPLoS ONE, 2022
Accurate capture finger of movements for biomechanical assessments has typically been achieved within laboratory environments through the use of physical markers attached to a participant's hands.
Letizia Gionfrida   +3 more
doaj   +1 more source

Multi-View Human Action Recognition Using Skeleton Based-FineKNN with Extraneous Frame Scrapping Technique

open access: yesSensors, 2023
Human action recognition (HAR) is one of the most active research topics in the field of computer vision. Even though this area is well-researched, HAR algorithms such as 3D Convolution Neural Networks (CNN), Two-stream Networks, and CNN-LSTM (Long Short-
Najeeb ur Rehman Malik   +3 more
doaj   +1 more source

OpenPose based Smoking Gesture Recognition System using Artificial Neural Network

open access: yesTehnički Glasnik, 2023
Smoking is an extremely important health problem in modern society. This study focuses on a method for preventing smoking in non-smoking areas, such as public places, as well as the development of an artificial neural network based smoking motion ...
Tae-Yeong Jeong, Il-Kyu Ha
doaj   +1 more source

Intelligent Performance Evaluation in Rowing Sport Using a Graph-Matching Network

open access: yesJournal of Imaging, 2023
Rowing competitions require consistent rowing strokes among crew members to achieve optimal performance. However, existing motion analysis techniques often rely on wearable sensors, leading to challenges in sporter inconvenience.
Chien-Chang Chen   +5 more
doaj   +1 more source

A Systematic Review and Taxonomy of Fall Detection in Geriatric Care: Current State, Challenges, and Applications

open access: yesWIREs 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

A multi-modal detection method for holding ladders in underground climbing operations

open access: yesGong-kuang zidonghua
Currently, 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

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