AIMC Topic: Motor Activity

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A neural network-based optimal spatial filter design method for motor imagery classification.

PloS one May 1, 2015
In this study, a novel spatial filter design method is introduced. Spatial filtering is an important processing step for feature extraction in motor imagery-based brain-computer interfaces. This paper introduces a new motor imagery signal classificat...
Electroencephalography Brain-Computer Interfaces Motor Activity Imagery, Psychotherapy Humans Neural Networks, Computer Algorithms
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Considering the effects of gender in child-robot interaction studies: comment on Srinivasan, et Al. (2013).

Perceptual and motor skills Feb 10, 2015
Using a pretest-posttest design, Srinivasan, et al. (2013 ) found that a period of interaction between children and an Isobot humanoid robot improved performance on standardized measures of imitation, planning, and execution of motor behaviors. The a...
Motor Activity Humans Child Behavior Female Male Child, Preschool Child Robotics Sex Factors
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Bridging the gap between motor imagery and motor execution with a brain-robot interface.

NeuroImage Dec 17, 2014
According to electrophysiological studies motor imagery and motor execution are associated with perturbations of brain oscillations over spatially similar cortical areas. By contrast, neuroimaging and lesion studies suggest that at least partially di...
Female Young Adult Adult Male Middle Aged Motor Activity User-Computer Interface Imagination Principal Component Analysis Electroencephalography Robotics Humans Signal Processing, Computer-Assisted Brain Neural Pathways
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Robust sensorimotor representation to physical interaction changes in humanoid motion learning.

IEEE transactions on neural networks and learning systems Jul 10, 2014
This paper proposes a learning from demonstration system based on a motion feature, called phase transfer sequence. The system aims to synthesize the knowledge on humanoid whole body motions learned during teacher-supported interactions, and apply th...
Robotics Walking Motion Functional Laterality Knowledge Motor Activity Humans Symbolism Computer Simulation Transfer, Psychology Learning Time Factors
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Prediction of activity type in preschool children using machine learning techniques.

Journal of science and medicine in sport Jun 24, 2014
OBJECTIVES: Recent research has shown that machine learning techniques can accurately predict activity classes from accelerometer data in adolescents and adults. The purpose of this study is to develop and test machine learning models for predicting ...
Female Male Child, Preschool Child Humans Neural Networks, Computer Machine Learning Accelerometry Motor Activity Bicycling Play and Playthings Models, Theoretical Walking Running Activities of Daily Living
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Time-frequency modulation of ERD and EEG coherence in robot-assisted hand performance.

Brain topography May 17, 2014
A better understanding of cortical modifications related to movement preparation and execution after robot-assisted training could aid in refining rehabilitation therapy protocols for stroke patients. Electroencephalography (EEG) modifications of cor...
Motor Activity Imagination Periodicity Female Humans Adult Brain Male Electroencephalography Robotics Signal Processing, Computer-Assisted Hand Motion
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Genetic algorithm-based classifiers fusion for multisensor activity recognition of elderly people.

IEEE journal of biomedical and health informatics Apr 21, 2014
Activity recognition of an elderly person can be used to provide information and intelligent services to health care professionals, carers, elderly people, and their families so that the elderly people can remain at homes independently. This study in...
Activities of Daily Living Pattern Recognition, Automated Accelerometry Thermography Models, Genetic Electrocardiography, Ambulatory Geriatric Assessment Humans Actigraphy Artificial Intelligence Reproducibility of Results Motor Activity Algorithms Subtraction Technique Aged Female Transducers Sensitivity and Specificity Male
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A subject transfer neural network fuses Generator and Euclidean alignment for EEG-based motor imagery classification.

Journal of neuroscience methods Aug 1, 2025
BACKGROUND: Brain-computer interface (BCI) facilitates the connection between human brain and computer, enabling individuals to control external devices indirectly through cognitive processes. Although it has great development prospects, the signific...
Humans Signal Processing, Computer-Assisted Brain-Computer Interfaces Motor Activity Imagination Neural Networks, Computer Brain Deep Learning Electroencephalography
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EEG-Based Feature Classification Combining 3D-Convolutional Neural Networks with Generative Adversarial Networks for Motor Imagery.

Journal of integrative neuroscience Aug 20, 2024
BACKGROUND: The adoption of convolutional neural networks (CNNs) for decoding electroencephalogram (EEG)-based motor imagery (MI) in brain-computer interfaces has significantly increased recently. The effective extraction of motor imagery features is...
Motor Activity Imagination Adult Humans Electroencephalography Neural Networks, Computer Signal Processing, Computer-Assisted Brain Brain-Computer Interfaces
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Deep multimodal saliency parcellation of cerebellar pathways: Linking microstructure and individual function through explainable multitask learning.

Human brain mapping Aug 15, 2024
Parcellation of human cerebellar pathways is essential for advancing our understanding of the human brain. Existing diffusion magnetic resonance imaging tractography parcellation methods have been successful in defining major cerebellar fibre tracts,...
Neural Pathways Diffusion Tensor Imaging Motor Activity Image Processing, Computer-Assisted Cerebellum Connectome Humans Female Young Adult Adult Male Deep Learning
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