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Movement

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Gait improvements by assisting hip movements with the robot in children with cerebral palsy: a pilot randomized controlled trial.

Journal of neuroengineering and rehabilitation
BACKGROUND: Recently, rehabilitation robots are expected to improve the gait of cerebral palsy (CP) children. However, only few previous studies have reported the kinematic and kinetic changes by using wearable exoskeleton robots. The aim of this stu...

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

PloS one
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...

RNN-Aided Human Velocity Estimation from a Single IMU.

Sensors (Basel, Switzerland)
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 ...

Trace2trace-A Feasibility Study on Neural Machine Translation Applied to Human Motion Trajectories.

Sensors (Basel, Switzerland)
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...

Machine Learning for 3D Kinematic Analysis of Movements in Neurorehabilitation.

Current neurology and neuroscience reports
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...

Real-Time Selective Markerless Tracking of Forepaws of Head Fixed Mice Using Deep Neural Networks.

eNeuro
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...

Facial expression monitoring system for predicting patient's sudden movement during radiotherapy using deep learning.

Journal of applied clinical medical physics
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...

Elbow angle generation during activities of daily living using a submovement prediction model.

Biological cybernetics
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...

Compensatory motion scaling for time-delayed robotic surgery.

Surgical endoscopy
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...

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
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...