Fall Feature Enhancement and Fusion Using the Stockwell Transform With Dual mmWave Radars

Article Geochemistry & Geophysics

Human Activity Classification Based on Moving Orientation Determining Using Multistatic Micro-Doppler Radar Signals

Xingshuai Qiao et al.

Summary: This article proposes a novel human activity classification method based on multistatic m-D signals, which achieves better data fusion and classification performance by considering the time-varying aspect angle of human motion.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)

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Article Geochemistry & Geophysics

Semisupervised Human Activity Recognition With Radar Micro-Doppler Signatures

Xinyu Li et al.

Summary: The paper introduces a semi-supervised transfer learning algorithm JDS-TL for radar-based HAR, which successfully alleviates the need for labeling a large number of radar signals by using a sparsely labeled dataset. Experiments show that JDS-TL achieves an average accuracy of 87.6% in recognizing six activities with only 10% labeled instances, highlighting the efficiency of domain adaptation and semantic transfer modules.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)

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Article Engineering, Electrical & Electronic

Millimeter-Wave Frequency Modulated Continuous Wave Radar-Based Soft Fall Detection Using Pattern Contour-Confined Doppler-Time Maps

Bo Wang et al.

Summary: Fall accidents are a major cause of non-natural death among older people. This paper proposes a radar-based fall detection method using PCC-DT maps, which improves the detection accuracy and can detect sudden and soft fall motions with high accuracy, sensitivity, and specificity.

IEEE SENSORS JOURNAL (2022)

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Article Automation & Control Systems

Contactless Fall Detection Using Time-Frequency Analysis and Convolutional Neural Networks

Hamidreza Sadreazami et al.

Summary: The article proposes a radar-based fall detection technique using time-frequency analysis and convolutional neural networks, showing promising results in experiments with high accuracy and specificity. The method demonstrates robustness in distinguishing falls from nonfalls even when tested on different subjects and in different rooms.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)

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Article Engineering, Electrical & Electronic

Elderly Fall Detection With Vital Signs Monitoring Using CW Doppler Radar

Khadija Hanifi et al.

Summary: The study developed a low-cost, high-accuracy fall detection system using radar technology to observe indoor activities and detect fall accidents, aiming to reduce the risks of undiscovered falls. Experimental results showed that the system achieved a 90% recall rate for fall detection, with accuracy rates of 97.7% for respiration and 95.3% for heartbeat detection.

IEEE SENSORS JOURNAL (2021)

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Proceedings Paper Computer Science, Information Systems

Health Secure Radar: Use of Micro Doppler Signatures for Health Care and Security Applications

Muhammad Muqtadir et al.

Summary: Microwave-based radar sensors are increasingly used in healthcare and security applications. The software-defined implementation allows detection and classification of different types of motions, suitable for elderly care and monitoring, as well as seeing through visually opaque materials for security applications. Investigating the use of micro-Doppler signatures for localizing and detecting human micro-motions, a convolutional neural network is trained to identify fall events after augmenting the micro-Doppler data.

PROCEEDINGS OF IEEE VTS APWCS 2021: 2021 17TH IEEE VTS ASIA PACIFIC WIRELESS COMMUNICATIONS SYMPOSIUM (APWCS) (2021)

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Article Engineering, Electrical & Electronic

A Survey on Vital Signs Detection Using Radar Techniques and Processing With FPGA Implementation

Ameen Bin Obadi et al.

Summary: Recent advancements in radar sensors for detecting human vital signs have shown improvements in accuracy, speed, and cost-effectiveness. Researchers focus on enhancing detection accuracy, improving processing speed, and reducing implementation costs.

IEEE CIRCUITS AND SYSTEMS MAGAZINE (2021)

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Article Chemistry, Analytical