AIMC Topic: Movement

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Hybrid CNN-GRU Models for Improved EEG Motor Imagery Classification.

Sensors (Basel, Switzerland) Feb 25, 2025
Brain-computer interfaces (BCIs) based on electroencephalography (EEG) enable neural activity interpretation for device control, with motor imagery (MI) serving as a key paradigm for decoding imagined movements. Efficient feature extraction from raw ...
Brain-Computer Interfaces Movement Imagination Humans Algorithms Neural Networks, Computer Electroencephalography Signal Processing, Computer-Assisted
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Development of weighted residual RNN model with hybrid heuristic algorithm for movement recognition framework in ambient assisted living.

Scientific reports Feb 25, 2025
In healthcare applications, automatic and intelligent movement recognition systems in Ambient Assisted Living (AAL) are designed for elderly and disabled persons. The AAL provides assistance as well as secure feelings to disabled persons and elderly ...
Algorithms Aged Deep Learning Persons with Disabilities Heuristics Movement Humans Neural Networks, Computer
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Explaining Human Activity Recognition with SHAP: Validating insights with perturbation and quantitative measures.

Computers in biology and medicine Feb 22, 2025
In Human Activity Recognition (HAR), understanding the intricacy of body movements within high-risk applications is essential. This study uses SHapley Additive exPlanations (SHAP) to explain the decision-making process of Graph Convolution Networks (...
Cerebral Palsy Movement Human Activities Databases, Factual Female Male Humans Neural Networks, Computer
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Soft Pressure Sensor Array Inspired by Human Skin for Detecting 3D Robotic Movement.

ACS applied materials & interfaces Feb 19, 2025
3D soft pressure sensors play an important role in precise robotic operations. Multimodal soft pressure sensors that detect both static and dynamic pressure allow robots to respond accurately and in real time. Here, we present a sensor array with a s...
Equipment Design Skin Pressure Wearable Electronic Devices Robotics Movement Humans
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Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring.

ACS applied materials & interfaces Feb 14, 2025
Prolonged use of digital devices and sedentary lifestyles have led to an increase in the prevalence of cervical spondylosis among young people, highlighting the urgent need for preventive measures. Recent advancements in triboelectric nanogenerators ...
Deep Learning Wearable Electronic Devices Neck Humans Algorithms Glycerol Polyvinyl Alcohol Movement Monitoring, Physiologic Hydrogels
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Improving reliability of movement assessment in Parkinson's disease using computer vision-based automated severity estimation.

Journal of Parkinson's disease Feb 13, 2025
BackgroundClinical assessments of motor symptoms rely on observations and subjective judgments against standardized scales, leading to variability due to confounders. Improving inter-rater agreement is essential for effective disease management.Objec...
Severity of Illness Index Parkinson Disease Video Recording Movement Neurologic Examination Aged Male Middle Aged Female Reproducibility of Results Humans Machine Learning Prospective Studies
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Rapidly self-healing electronic skin for machine learning-assisted physiological and movement evaluation.

Science advances Feb 12, 2025
Emerging electronic skins (E-Skins) offer continuous, real-time electrophysiological monitoring. However, daily mechanical scratches compromise their functionality, underscoring urgent need for self-healing E-Skins resistant to mechanical damage. Cur...
Humans Machine Learning Wearable Electronic Devices Monitoring, Physiologic Skin Movement
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A novel method for assessing cycling movement status: an exploratory study integrating deep learning and signal processing technologies.

BMC medical informatics and decision making Feb 11, 2025
This study proposes a deep learning-based motion assessment method that integrates the pose estimation algorithm (Keypoint RCNN) with signal processing techniques, demonstrating its reliability and effectiveness.The reliability and validity of this m...
Reproducibility of Results Young Adult Adult Humans Algorithms Female Accelerometry Movement Bicycling Male Deep Learning Signal Processing, Computer-Assisted
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Research on Upper Limb Motion Intention Classification and Rehabilitation Robot Control Based on sEMG.

Sensors (Basel, Switzerland) Feb 10, 2025
sEMG is a non-invasive biomedical engineering technique that can detect and record electrical signals generated by muscles, reflecting both motor intentions and the degree of muscle contraction. This study aims to classify and recognize nine types of...
Intention Humans Movement Robotics Rehabilitation Neural Networks, Computer Electromyography Upper Extremity Machine Learning
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CLUMM: Contrastive Learning for Unobtrusive Motion Monitoring.

Sensors (Basel, Switzerland) Feb 10, 2025
Traditional approaches for human monitoring and motion recognition often rely on wearable sensors, which, while effective, are obtrusive and cause significant discomfort to workers. More recent approaches have employed unobtrusive, real-time sensing ...
Movement Monitoring, Physiologic Motion Algorithms Humans Deep Learning Machine Learning Wearable Electronic Devices
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