AIMC Topic: Motion

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Motion Planning and Control with Environmental Uncertainties for Humanoid Robot.

Sensors (Basel, Switzerland) Nov 29, 2024
Humanoid robots are typically designed for static environments, but real-world applications demand robust performance under dynamic, uncertain conditions. This paper introduces a perceptive motion planning and control algorithm that enables humanoid ...
Motion Uncertainty Biomechanical Phenomena Robotics Walking Humans Algorithms
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Incorporating spatial information in deep learning parameter estimation with application to the intravoxel incoherent motion model in diffusion-weighted MRI.

Medical image analysis Nov 26, 2024
In medical image analysis, the utilization of biophysical models for signal analysis offers valuable insights into the underlying tissue types and microstructural processes. In diffusion-weighted magnetic resonance imaging (DWI), a major challenge li...
Humans Algorithms Brain Image Interpretation, Computer-Assisted Deep Learning Signal-To-Noise Ratio Image Processing, Computer-Assisted Diffusion Magnetic Resonance Imaging Motion
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A Linear Rehabilitative Motion Planning Method with a Multi-Posture Lower-Limb Rehabilitation Robot.

Sensors (Basel, Switzerland) Nov 25, 2024
In rehabilitation, physicians plan lower-limb exercises via linear guidance. Ensuring efficacy and safety, they design patient-specific paths, carefully plotting smooth trajectories to minimize jerks. Replicating their precision in robotics is a majo...
Humans Algorithms Biomechanical Phenomena Lower Extremity Exercise Therapy Rehabilitation Robotics Motion
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Human motion recognition based on feature fusion and residual networks.

Scientific reports Nov 24, 2024
Addressing the issue of low recognition accuracy in human motion detection when relying on a single feature, a novel approach integrating Frequency Modulated Continuous Wave (FMCW) radar technology with a Residual Network (ResNet) architecture has be...
Movement Fourier Analysis Algorithms Motion Pattern Recognition, Automated Humans Neural Networks, Computer
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Machine Learning Applied to Reference Signal-Less Detection of Motion Artifacts in Photoplethysmographic Signals: A Review.

Sensors (Basel, Switzerland) Nov 9, 2024
Machine learning algorithms have brought remarkable advancements in detecting motion artifacts (MAs) from the photoplethysmogram (PPG) with no measured or synthetic reference data. However, no study has provided a synthesis of these methods, let alon...
Machine Learning Algorithms Photoplethysmography Signal Processing, Computer-Assisted Motion Artifacts Humans
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Multilevel attention mechanism for motion fatigue recognition based on sEMG and ACC signal fusion.

PloS one Nov 4, 2024
This study aims to develop a cost-effective and reliable motion monitoring device capable of comprehensive fatigue analysis. It achieves this objective by integrating surface electromyography (sEMG) and accelerometer (ACC) signals through a feature f...
Motion Algorithms Accelerometry Signal Processing, Computer-Assisted Humans Muscle Fatigue Fatigue Electromyography Neural Networks, Computer
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Cardiac motion correction with a deep learning network for perfusion defect assessment in single-photon emission computed tomography myocardial perfusion imaging.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology Nov 2, 2024
BACKGROUND: In myocardial perfusion imaging (MPI) with single-photon emission computed tomography (SPECT), ungated studies are used for evaluation of perfusion defects despite motion blur. We investigate the potential benefit of motion correction usi...
ROC Curve Image Processing, Computer-Assisted Heart Middle Aged Deep Learning Motion Tomography, Emission-Computed, Single-Photon Myocardial Perfusion Imaging Humans Female Aged Male
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Machine learning-based estimation of respiratory fluctuations in a healthy adult population using resting state BOLD fMRI and head motion parameters.

Magnetic resonance in medicine Oct 31, 2024
PURPOSE: External physiological monitoring is the primary approach to measure and remove effects of low-frequency respiratory variation from BOLD-fMRI signals. However, the acquisition of clean external respiratory data during fMRI is not always poss...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Motion Young Adult Adult Humans Male Respiration Neural Networks, Computer Connectome Machine Learning Head Movements Healthy Volunteers Algorithms Rest Brain Head Female
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Automated detection of motion artifacts in brain MR images using deep learning.

NMR in biomedicine Oct 22, 2024
Quality assessment, including inspecting the images for artifacts, is a critical step during magnetic resonance imaging (MRI) data acquisition to ensure data quality and downstream analysis or interpretation success. This study demonstrates a deep le...
Humans Brain Deep Learning Motion Image Processing, Computer-Assisted Artifacts Magnetic Resonance Imaging Automation
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Trajectory optimization and obstacle avoidance of autonomous robot using Robust and Efficient Rapidly Exploring Random Tree.

PloS one Oct 11, 2024
One of the key challenges in robotics is the motion planning problem. This paper presents a local trajectory planning and obstacle avoidance strategy based on a novel sampling-based path-finding algorithm designed for autonomous vehicles navigating c...
Robotics Motion Algorithms Computer Simulation
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