Results 41 to 50 of about 1,695 (159)
IEEE Access, 2021 With the recent advancements in radar systems, radar sensors offer a promising and effective perception of the surrounding. This includes target detection, classification and tracking. Compared to the state-of-the-art, where the state vector of classical
Anand Dubey +5 more
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Remote Sensing, 2022 In the past few decades, the demand for reliable and robust systems capable of monitoring unmanned aerial vehicles (UAVs) increased significantly due to the security threats from its wide applications.
Ting Dai +5 more
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Semisupervised Human Activity Recognition With Radar Micro-Doppler Signatures
IEEE Transactions on Geoscience and Remote Sensing, 2022 Human activity recognition (HAR) plays a vital role in many applications, such as surveillance, in-home monitoring, and health care. Portable radar sensor has been increasingly used in HAR systems in combination with deep learning (DL). However, it is both difficult and time-consuming to obtain a large-scale radar dataset with reliable labels ...
Xinyu Li 0007 +3 more
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WiWeHAR: Multimodal Human Activity Recognition Using Wi-Fi and Wearable Sensing Modalities
IEEE Access, 2020 Robust and accurate human activity recognition (HAR) systems are essential to many human-centric services within active assisted living and healthcare facilities.
Muhammad Muaaz +4 more
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Orientation-Independent Human Activity Recognition Using Complementary Radio Frequency Sensing
Sensors, 2023 RF sensing offers an unobtrusive, user-friendly, and privacy-preserving method for detecting accidental falls and recognizing human activities. Contemporary RF-based HAR systems generally employ a single monostatic radar to recognize human activities ...
Muhammad Muaaz +2 more
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Human Motion Recognition With Limited Radar Micro-Doppler Signatures
IEEE Transactions on Geoscience and Remote Sensing, 2021 The performance of deep learning (DL) algorithms for radar-based human motion recognition (HMR) is hindered by the diversity and volume of the available training data. In this article, to tackle the issue of insufficient training data for HMR, we propose an instance-based transfer learning (ITL) method with limited radar micro-Doppler (MD) signatures ...
Xinyu Li 0007 +5 more
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Remote Sensing, 2018 A high-resolution three-dimensional (3D) image reconstruction method for a spinning target is proposed in this paper and the anisotropy is overcome by fusing different observation information acquired from the radar network.
Xiao-wen Liu +4 more
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Arm Motion Classification Using Time-Series Analysis of the Spectrogram Frequency Envelopes
Remote Sensing, 2020 Hand and arm gesture recognition using radio frequency (RF) sensing modality proves valuable in man−machine interfaces and smart environments. In this paper, we use the time-series analysis method to accurately measure the similarity of the micro ...
Zhengxin Zeng +2 more
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Sensors, 2020 We present a technique for the identification of human and animal movement and height using a low power millimeter-wave radar. The detection was based on the transmission of a continuous wave and heterodyning the received signal reflected from the target
Yael Balal +3 more
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