AIMC Topic: Movement

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PyDSLRep: A domain-specific language for robotic simulation in V-Rep.

PloS one Jul 1, 2020
Calculating forward and inverse kinematics for robotic agents is one of the most time-intensive tasks when controlling the robot movement in any environment. This calculation is then encoded to control the motors and validated in a simulator. The fee...
Equipment Design Humans Programming Languages Movement Computer Simulation Biomechanical Phenomena Robotics
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RNN-Aided Human Velocity Estimation from a Single IMU.

Sensors (Basel, Switzerland) Jun 29, 2020
Pedestrian Dead Reckoning (PDR) uses inertial measurement units (IMUs) and combines velocity and orientation estimates to determine a position. The estimation of the velocity is still challenging, as the integration of noisy acceleration and angular ...
Acceleration Movement Algorithms Pedestrians Humans Neural Networks, Computer
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Trace2trace-A Feasibility Study on Neural Machine Translation Applied to Human Motion Trajectories.

Sensors (Basel, Switzerland) Jun 21, 2020
Neural machine translation is a prominent field in the computational linguistics domain. By leveraging the recent developments of deep learning, it gave birth to powerful algorithms for translating text from one language to another. This study aims t...
Human Activities Feasibility Studies Movement Humans Neural Networks, Computer Machine Learning Algorithms
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Machine Learning for 3D Kinematic Analysis of Movements in Neurorehabilitation.

Current neurology and neuroscience reports Jun 15, 2020
PURPOSE OF REVIEW: Recent advances in the machine learning field, especially in deep learning, provide the opportunity for automated, detailed, and unbiased analysis of motor behavior. Although there has not yet been wide use of these techniques in t...
Humans Biomechanical Phenomena Movement Neurological Rehabilitation Neural Networks, Computer Machine Learning
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Real-Time Selective Markerless Tracking of Forepaws of Head Fixed Mice Using Deep Neural Networks.

eNeuro Jun 15, 2020
Here, we describe a system capable of tracking specific mouse paw movements at high frame rates (70.17 Hz) with a high level of accuracy (mean=0.95, SD<0.01). Short-latency markerless tracking of specific body parts opens up the possibility of manipu...
Mice Behavior, Animal Software Movement Neural Networks, Computer Animals
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Facial expression monitoring system for predicting patient's sudden movement during radiotherapy using deep learning.

Journal of applied clinical medical physics Jun 9, 2020
PURPOSE: Imaging, breath-holding/gating, and fixation devices have been developed to minimize setup errors so that the prescribed dose can be exactly delivered to the target volume in radiotherapy. Despite these efforts, additional patient monitoring...
Facial Expression Movement Deep Learning Monitoring, Physiologic Humans Neural Networks, Computer
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Elbow angle generation during activities of daily living using a submovement prediction model.

Biological cybernetics Jun 9, 2020
The present study aimed to develop a realistic model for the generation of human activities of daily living (ADL) movements. The angular profiles of the elbow joint during functional ADL tasks such as eating and drinking were generated by a submoveme...
Activities of Daily Living Forecasting Movement Elbow Joint Humans Neural Networks, Computer
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Compensatory motion scaling for time-delayed robotic surgery.

Surgical endoscopy Jun 8, 2020
BACKGROUND: Round trip signal latency, or time delay, is an unavoidable constraint that currently stands as a major barrier to safe and efficient remote telesurgery. While there have been significant technological advancements aimed at reducing the t...
Robotic Surgical Procedures Motion Movement Humans Robotics
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Interpretable and lightweight convolutional neural network for EEG decoding: Application to movement execution and imagination.

Neural networks : the official journal of the International Neural Network Society May 29, 2020
Convolutional neural networks (CNNs) are emerging as powerful tools for EEG decoding: these techniques, by automatically learning relevant features for class discrimination, improve EEG decoding performances without relying on handcrafted features. N...
Brain-Computer Interfaces Movement Machine Learning Electroencephalography Humans Imagination
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Pilot study: can machine learning analyses of movement discriminate between leg movements in sleep (LMS) with vs. without cortical arousals?

Sleep & breathing = Schlaf & Atmung May 26, 2020
PURPOSE: Clinical and animal studies indicate frequent small micro-arousals (McA) fragment sleep leading to health complications. McA in humans is defined by changes in EEG and EMG during sleep. Complex EEG recordings during the night are usually req...
Electromyography Leg Movement Arousal Machine Learning Male Adolescent Sleep Deprivation Pilot Projects Humans Aged Electroencephalography Adult
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