Results 11 to 20 of about 2,295,941 (234)
Integrating deep learning 3D tracking and biophysical EOD modeling for precise, noninvasive computational neuroethology in freely swimming weakly electric fish [PDF]
Frontiers in Computational NeuroscienceRecording the movement of freely swimming, weakly electric fish during naturalistic behavior and social interactions poses persistent challenges to neuroethologists.
Reynaldo D. Pinto +8 more
doaj +2 more sources
Enhancing Human Activity Recognition through Integrated Multimodal Analysis: A Focus on RGB Imaging, Skeletal Tracking, and Pose Estimation. [PDF]
Sensors (Basel)Human activity recognition (HAR) is pivotal in advancing applications ranging from healthcare monitoring to interactive gaming. Traditional HAR systems, primarily relying on single data sources, face limitations in capturing the full spectrum of human ...
Rehman SU +5 more
europepmc +2 more sources
Comparison of Shoulder Range of Motion Quantified with Mobile Phone Video-Based Skeletal Tracking and 3D Motion Capture-Preliminary Study. [PDF]
Sensors (Basel)Background: The accuracy of human pose tracking using smartphone camera (2D-pose) to quantify shoulder range of motion (RoM) is not determined. Methods: Twenty healthy individuals were recruited and performed shoulder abduction, adduction, flexion, or ...
van den Hoorn W +4 more
europepmc +2 more sources
Sensors, 2022 Wheelchair users must use proper technique when performing sitting-pivot-transfers (SPTs) to prevent upper extremity pain and discomfort. Current methods to analyze the quality of SPTs include the TransKinect, a combination of machine learning (ML ...
Alicia Marie Koontz +6 more
doaj +1 more source
Skeleton Tracking Accuracy and Precision Evaluation of Kinect V1, Kinect V2, and the Azure Kinect
Applied Sciences, 2021 The Azure Kinect, the successor of Kinect v1 and Kinect v2, is a depth sensor. In this paper we evaluate the skeleton tracking abilities of the new sensor, namely accuracy and precision (repeatability).
Michal Tölgyessy +2 more
doaj +1 more source
International Journal of Advanced Computer Science and Applications, 2022 Human action analysis is an enthralling area of research in artificial intelligence, as it may be used to improve a range of applications, including sports coaching, rehabilitation, and monitoring.
M. Hisham +3 more
semanticscholar +1 more source
Tracking using Human Pose Matching with Deep Association Metric
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 This paper proposes a novel approach to track multiple people utilizing skeletal information combined with visual appearance features to improve the accuracy of tracking people across different frames of a video.
Atishay Jain +2 more
doaj +1 more source
Testing the Microsoft kinect skeletal tracking accuracy under varying external factors
MOJ Applied Bionics and Biomechanics, 2022 Focusing on its possible use in motion analysis, the accuracy of the Microsoft Kinect was investigated under various external factors including relative position, external IR light, computational power and large nearby surfaces. Two different experiments
Joyce Eduardo Taboada Diaz +5 more
semanticscholar +1 more source
Sensors, 2021 Human pose estimation and tracking in real-time from multi-sensor systems is essential for many applications. Combining multiple heterogeneous sensors increases opportunities to improve human motion tracking.
Ashok Kumar Patil +4 more
doaj +1 more source
npj Aging and Mechanisms of Disease, 2021 Mitochondrial dysfunction and bioenergetics failure are common pathological hallmarks in Huntington’s disease (HD) and aging. In the present study, we used the YAC128 murine model of HD to examine the effects of mutant huntingtin on mitochondrial ...
Kristina Bečanović +9 more
doaj +1 more source