AIMC Topic: Acceleration

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Development of a multi-wear-site, deep learning-based physical activity intensity classification algorithm using raw acceleration data.

PloS one Mar 7, 2024
BACKGROUND: Accelerometers are widely adopted in research and consumer devices as a tool to measure physical activity. However, existing algorithms used to estimate activity intensity are wear-site-specific. Non-compliance to wear instructions may le...
Acceleration Accelerometry Child Wrist Algorithms Adult Exercise Deep Learning Humans
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Human-like acceleration and deceleration control of a robot astronaut floating in a space station.

ISA transactions Mar 1, 2024
The acceleration and deceleration (AD) motions are the basic motion modes of robot astronauts moving in a space station. Controlling the locomotion of the robot astronaut is very challenging due to the strong nonlinearity of its complex multi-body dy...
Acceleration Astronauts Algorithms Robotics Computer Simulation Motion Space Flight Humans Spacecraft Weightlessness Movement Deceleration
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Acceleration of Graph Neural Network-Based Prediction Models in Chemistry via Co-Design Optimization on Intelligence Processing Units.

Journal of chemical information and modeling Feb 21, 2024
Atomic structure prediction and associated property calculations are the bedrock of chemical physics. Since high-fidelity ab initio modeling techniques for computing the structure and properties can be prohibitively expensive, this motivates the deve...
Algorithms Communication Neural Networks, Computer Intelligence Acceleration
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A Generative Model to Embed Human Expressivity into Robot Motions.

Sensors (Basel, Switzerland) Jan 16, 2024
This paper presents a model for generating expressive robot motions based on human expressive movements. The proposed data-driven approach combines variational autoencoders and a generative adversarial network framework to extract the essential featu...
Motion Acceleration Cues Humans Robotics Movement
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Mechanomyography signals pattern recognition in hand movements using swarm intelligence algorithm optimized support vector machine based on acceleration sensors.

Medical engineering & physics Nov 3, 2023
On the basis of extracting mechanomyography (MMG) signal features, the classification of hand movements has certain application values in human-machine interaction systems and wearable devices. In this paper, pattern recognition of hand movements bas...
Acceleration Support Vector Machine Intelligence Neural Networks, Computer Algorithms Humans
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Deep learning-based reconstruction for acceleration of lumbar spine MRI: a prospective comparison with standard MRI.

European radiology Jul 27, 2023
OBJECTIVE: To compare the image quality and diagnostic performance between standard turbo spin-echo MRI and accelerated MRI with deep learning (DL)-based image reconstruction for degenerative lumbar spine diseases.
Lumbar Vertebrae Magnetic Resonance Imaging Acceleration Constriction, Pathologic Humans Deep Learning
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Improved Robot Path Planning Method Based on Deep Reinforcement Learning.

Sensors (Basel, Switzerland) Jun 15, 2023
With the advancement of robotics, the field of path planning is currently experiencing a period of prosperity. Researchers strive to address this nonlinear problem and have achieved remarkable results through the implementation of the Deep Reinforcem...
Algorithms Robotics Reward Acceleration Intelligence
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Counting Activities Using Weakly Labeled Raw Acceleration Data: A Variable-Length Sequence Approach with Deep Learning to Maintain Event Duration Flexibility.

Sensors (Basel, Switzerland) May 25, 2023
This paper presents a novel approach for counting hand-performed activities using deep learning and inertial measurement units (IMUs). The particular challenge in this task is finding the correct window size for capturing activities with different du...
Humans Acceleration Neural Networks, Computer Algorithms Human Activities Machine Learning Deep Learning
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Editorial for "Deep Learning-Based Acceleration of Compressed Sensing Noncontrast-Enhanced Coronary Magnetic Resonance Angiography in Patients With Suspected Coronary Artery Disease".

Journal of magnetic resonance imaging : JMRI Feb 21, 2023
Acceleration Coronary Vessels Humans Coronary Angiography Magnetic Resonance Angiography Coronary Artery Disease Deep Learning Arteries
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A Deep Learning-Based Semantic Segmentation Model Using MCNN and Attention Layer for Human Activity Recognition.

Sensors (Basel, Switzerland) Feb 17, 2023
With the development of wearable devices such as smartwatches, several studies have been conducted on the recognition of various human activities. Various types of data are used, e.g., acceleration data collected using an inertial measurement unit se...
Semantics Human Activities Attention Humans Acceleration Deep Learning
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