AIMC Topic: Radar
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A deep learning approach for non-invasive Alzheimer's monitoring using microwave radar data.
Neural networks : the official journal of the International Neural Network Society
Oct 5, 2024
Over 50 million people globally suffer from Alzheimer's disease (AD), emphasizing the need for efficient, early diagnostic tools. Traditional methods like Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) scans are expensive, bulky, and s...
Artificial Intelligence for the Evaluation of Postures Using Radar Technology: A Case Study.
Sensors (Basel, Switzerland)
Sep 25, 2024
In the last few decades, major progress has been made in the medical field; in particular, new treatments and advanced health technologies allow for considerable improvements in life expectancy and, more broadly, in quality of life. As a consequence,...
Rice yield prediction through integration of biophysical parameters with SAR and optical remote sensing data using machine learning models.
Scientific reports
Sep 17, 2024
In an era marked by growing global population and climate variability, ensuring food security has become a paramount concern. Rice, being a staple crop for billions of people, requires accurate and timely yield prediction to ensure global food securi...
A Deep Learning Method for Human Sleeping Pose Estimation with Millimeter Wave Radar.
Sensors (Basel, Switzerland)
Sep 11, 2024
Recognizing sleep posture is crucial for the monitoring of people with sleeping disorders. Existing contact-based systems might interfere with sleeping, while camera-based systems may raise privacy concerns. In contrast, radar-based sensors offer a p...
Complex-valued soft-log threshold reweighting for sparsity of complex-valued convolutional neural networks.
Neural networks : the official journal of the International Neural Network Society
Aug 27, 2024
Complex-valued convolutional neural networks (CVCNNs) have been demonstrated effectiveness in classifying complex signals and synthetic aperture radar (SAR) images. However, due to the introduction of complex-valued parameters, CVCNNs tend to become ...
Therapeutic Exercise Recognition Using a Single UWB Radar with AI-Driven Feature Fusion and ML Techniques in a Real Environment.
Sensors (Basel, Switzerland)
Aug 27, 2024
Physiotherapy plays a crucial role in the rehabilitation of damaged or defective organs due to injuries or illnesses, often requiring long-term supervision by a physiotherapist in clinical settings or at home. AI-based support systems have been devel...
Non-Contact Blood Pressure Estimation From Radar Signals by a Stacked Deformable Convolution Network.
IEEE journal of biomedical and health informatics
Aug 6, 2024
This study introduces a contactless blood pressure monitoring approach that combines conventional radar signal processing with novel deep learning architectures. During the preprocessing phase, datasets suitable for synchronization are created by int...
Deciphering Optimal Radar Ensemble for Advancing Sleep Posture Prediction through Multiview Convolutional Neural Network (MVCNN) Approach Using Spatial Radio Echo Map (SREM).
Sensors (Basel, Switzerland)
Aug 2, 2024
Assessing sleep posture, a critical component in sleep tests, is crucial for understanding an individual's sleep quality and identifying potential sleep disorders. However, monitoring sleep posture has traditionally posed significant challenges due t...
Improving human activity classification based on micro-doppler signatures of FMCW radar with the effect of noise.
PloS one
Aug 1, 2024
Nowadays, classifying human activities is applied in many essential fields, such as healthcare, security monitoring, and search and rescue missions. Radar sensor-based human activity classification is regarded as a superior approach in comparison to ...
E-BDL: Enhanced Band-Dependent Learning Framework for Augmented Radar Sensing.
Sensors (Basel, Switzerland)
Jul 17, 2024
Radar sensors, leveraging the Doppler effect, enable the nonintrusive capture of kinetic and physiological motions while preserving privacy. Deep learning (DL) facilitates radar sensing for healthcare applications such as gait recognition and vital-s...
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