AIMC Topic: Movement

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Optimum trajectory learning in musculoskeletal systems with model predictive control and deep reinforcement learning.

Biological cybernetics Aug 11, 2022
From the computational point of view, musculoskeletal control is the problem of controlling high degrees of freedom and dynamic multi-body system that is driven by redundant muscle units. A critical challenge in the control perspective of skeletal jo...
Musculoskeletal System Movement Reinforcement, Psychology Humans Learning Robotics
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A Home-based Tele-rehabilitation System With Enhanced Therapist-patient Remote Interaction: A Feasibility Study.

IEEE journal of biomedical and health informatics Aug 11, 2022
As a promising alternative to hospital-based manual therapy, robot-assisted tele-rehabilitation therapy has shown significant benefits in reducing the therapist's workload and accelerating the patient's recovery process. However, existing telerobotic...
Telerehabilitation Electromyography Feasibility Studies Movement Humans Robotics
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Toward Robust, Adaptiveand Reliable Upper-Limb Motion Estimation Using Machine Learning and Deep Learning-A Survey in Myoelectric Control.

IEEE journal of biomedical and health informatics Aug 11, 2022
To develop multi-functionalhuman-machine interfaces that can help disabled people reconstruct lost functions of upper-limbs, machine learning (ML) and deep learning (DL) techniques have been widely implemented to decode human movement intentions from...
Reproducibility of Results Deep Learning Humans Machine Learning Movement Upper Extremity Electromyography Artificial Limbs
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Effect of robot's vertical body movement on its perceived emotion: A preliminary study on vertical oscillation and transition.

PloS one Aug 10, 2022
The emotion expressions of social robots are some of the most important developments in recent studies on human-robot interactions (HRIs). Several research studies have been conducted to assess effective factors to improve the quality of emotion expr...
Humans Anger Movement Emotions Arousal Robotics
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Synthetic growth by self-lubricated photopolymerization and extrusion inspired by plants and fungi.

Proceedings of the National Academy of Sciences of the United States of America Aug 9, 2022
Many natural organisms, such as fungal hyphae and plant roots, grow at their tips, enabling the generation of complex bodies composed of natural materials as well as dexterous movement and exploration. Tip growth presents an exemplary process by whic...
Robotics Polymerization Movement Agaricales Biomimetics Bioengineering Plant Development
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The effects of robotic assistance on upper limb spatial muscle synergies in healthy people during planar upper-limb training.

PloS one Aug 8, 2022
BACKGROUND: Robotic rehabilitation is a commonly adopted technique used to restore motor functionality of neurological patients. However, despite promising results were achieved, the effects of human-robot interaction on human motor control and the r...
Exercise Therapy Biomechanical Phenomena Upper Extremity Humans Movement Muscles Robotics
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A Transformer-Based Approach Combining Deep Learning Network and Spatial-Temporal Information for Raw EEG Classification.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 4, 2022
The attention mechanism of the Transformer has the advantage of extracting feature correlation in the long-sequence data and visualizing the model. As time-series data, the spatial and temporal dependencies of the EEG signals between the time points ...
Brain-Computer Interfaces Movement Imagination Deep Learning Humans Electroencephalography Algorithms
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Artificial Neural Network Approach to Guarantee the Positioning Accuracy of Moving Robots by Using the Integration of IMU/UWB with Motion Capture System Data Fusion.

Sensors (Basel, Switzerland) Jul 31, 2022
This study presents an effective artificial neural network (ANN) approach to combine measurements from inertial measurement units (IMUs) and time-of-flight (TOF) measurements from an ultra-wideband (UWB) system with OptiTrack Motion Capture System (O...
Movement Robotics Motion Algorithms Neural Networks, Computer
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A Deep Learning Method for Intelligent Analysis of Sports Training Postures.

Computational intelligence and neuroscience Jul 31, 2022
With the further research of artificial intelligence technology, motion recognition technology is widely used in posture analysis of sports training. However, the interference of light, Angle, and distance in real life makes the existing model unable...
Deep Learning Artificial Intelligence Humans Posture Movement Algorithms
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Optimization of Choreography Teaching with Deep Learning and Neural Networks.

Computational intelligence and neuroscience Jul 31, 2022
To improve the development level of intelligent dance education and choreography network technology, the research mainly focuses on the automatic formation system of continuous choreography by using the deep learning method. Firstly, it overcomes the...
Movement Deep Learning Cluster Analysis Neural Networks, Computer
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