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Islam, Shekh M. M. (author), Fioranelli, F. (author), Lubecke, Victor M. (author)COVID-19, caused by SARS-CoV-2, is now a global pandemic disease. This outbreak has affected every aspect of life including work, leisure, and interaction with technology. Governments around the world have issued orders for travel bans, social distancing, and lockdown to control the spread of the virus and prevent strain on hospitals. This paper...review 2021
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Ji, Haoran (author), Hou, Chunping (author), Yang, Yang (author), Fioranelli, F. (author), Lang, Yue (author)In this letter, a radar-based gait authentication method is proposed. We focus on the overfitting problem on the target category caused by limited training data in authentication models and propose a one-class classification model to alleviate this problem. The effectiveness of such model is verified by establishing a radar-based gait dataset,...journal article 2021
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Pallotta, Luca (author), Cauli, Michela (author), Clemente, Carmine (author), Fioranelli, F. (author), Giunta, Gaetano (author), Farina, Alfonso (author)In this paper a method capable of automatically classify radar signals of human hand-gestures exploiting the micro-Doppler signature is designed. In particular, the methodology focuses on the extraction of the Chebyshev moments from the cadence velocity diagram (CVD) of each recorded signal. The algorithm benefits from interesting properties of...conference paper 2021
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Fioranelli, F. (author), Le Kernec, Julien (author)In this paper, radar sensing in the domain of human healthcare is discussed, specifically looking at the typical applications of human activity classification (including fall detection), gait analysis and gait parameters extraction, and vital signs monitoring such as respiration and heartbeat. A brief overview of open research challenges and...conference paper 2021
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Iakovidis, Dimitris K. (author), Ooi, Melanie (author), Kuang, Ye Chow (author), Demidenko, Serge (author), Shestakov, Alexandr (author), Sinitsin, Vladimir (author), Henry, Manus (author), Sciacchitano, A. (author), Fioranelli, F. (author)Signal processing is a fundamental component of almost any sensor-enabled system, with a wide range of applications across different scientific disciplines. Time series data, images, and video sequences comprise representative forms of signals that can be enhanced and analysed for information extraction and quantification. The recent advances in...review 2021
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Gusland, Daniel (author), Christiansen, Jonas M. (author), Torvik, Børge (author), Fioranelli, F. (author), Gurbuz, Sevgi Z. (author), Ritchie, Matthew (author)In this paper, we discuss an "open radar initiative" aimed at promoting the sharing of radar datasets and a common framework for acquiring data. The framework is based on widely available and affordable short-range radar hardware (automotive FMCW radar transceivers). This framework and initiative are intended to create and promote access to a...conference paper 2021
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Li, Zhenghui (author), Le Kernec, Julien (author), Fioranelli, F. (author), Romain, Olivier (author), Zhang, Lei (author), Yang, Shufan (author)In personnel recognition based on radar, significant research exists on statistical features extracted from the micro-Doppler signatures, whereas research considering other domains and information such as phase is less developed. This paper presents the use of deep learning methods to integrate both phase and magnitude features from range...conference paper 2021
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Guendel, Ronny (author), Unterhorst, M. (author), Gambi, Ennio (author), Fioranelli, F. (author), Yarovoy, Alexander (author)Continuous Activities of Daily Living (ADL) recognition in an arbitrary movement direction using five distributed pulsed Ultra-Wideband (UWB) radars in a coordinated network is proposed. Classification approaches in unconstrained activity trajectories that render a more natural occurrence for Human Activity Recognition (HAR) are investigated....conference paper 2021
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Svenningsson, P.O. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)Perception systems for autonomous vehicles are reliant on a comprehensive sensor suite to identify objects in the environment. While object recognition systems in the LiDAR and camera modalities are reaching maturity, recognition models on sparse radar point measurements have remained an open research challenge. An object recognition model is...conference paper 2021
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Yang, Fawei (author), Xu, Feng (author), Fioranelli, F. (author), Le Kernec, Julien (author), Chang, Shaoqiang (author), Long, Teng (author)The latest progress of the multiple-input multiple-output (MIMO) radar system developed for small drones detection at Beijing Institute of Technology is presented herein. A low-cost S-band MIMO scanning radar system is designed for the detection of small drones. A practical design optimisation and implementation of a sparse array covering the...journal article 2021
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Zhou, Boyu (author), Lin, Yier (author), Le Kernec, Julien (author), Yang, Shufan (author), Fioranelli, F. (author), Romain, Olivier (author), Zhao, Zhiqin (author)Radar micro-Doppler signatures have been proposed for human monitoring and activity classification for surveillance and outdoor security, as well as for ambient assisted living in healthcare-related applications. A known issue is the performance reduction when the target is moving tangentially to the line of sight of the radar. Multiple...journal article 2021
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Palamà, Riccardo (author), Fioranelli, F. (author), Ritchie, Matthew (author), Inggs, Michael (author), Lewis, Simon (author), Griffiths, Hugh (author)This article presents the results of a series of measurements of multistatic radar signatures of small UAVs at L- and X-bands. The system employed was the multistatic multiband radar system, NeXtRAD, consisting of one monostatic transmitter-receiver and two bistatic receivers. NeXtRAD is capable of recording simultaneous bistatic and...journal article 2021
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Clemente, Carmine (author), Pallotta, Luca (author), Ilioudis, Christos (author), Fioranelli, F. (author), Giunta, Gaetano (author), Farina, Alfonso (author)This paper introduces the use of a Chebychev moments' based feature for micro-Doppler based Classification, Recognition and Fingerprinting of Drones. This specific feature has been selected for its low computational cost and orthogonality property. The capability of the proposed feature extraction framework is assessed at three different levels...conference paper 2021
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Ritchie, M. (author), Capraru, R. (author), Fioranelli, F. (author)Radar sensors have a new growing application area of dynamic hand gesture recognition. Traditionally radar systems are considered to be very large, complex and focused on detecting targets at long ranges. With modern electronics and signal processing it is now possible to create small compact RF sensors that can sense subtle movements over...journal article 2020
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Guendel, Ronny (author), Fioranelli, F. (author), Yarovoy, Alexander (author)In this paper, we investigate the classification of Activities of Daily Living (ADL) by using a pulsed ultra-wideband radar. Specifically, we focus on contiguous activities that can be inseparable in time and share a common transition, such as walking and falling. The range-time data domain is deliberately exploited to determine transitions from...conference paper 2020
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Li, Shaoxuan (author), Jia, Mu (author), Le Kernec, Julien (author), Yang, Shufan (author), Fioranelli, F. (author), Romain, Olivier (author)Nowadays, health monitoring issues are increasing as the worldwide population is aging. In this paper, the radar modality is used to classify with radar signature automatically. The classic approach is to extract features from micro-Doppler signatures for classification. This data representation domain has its limitations for activities...conference paper 2020
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Jia, Mu (author), Li, Shaoxuan (author), Le Kernec, Julien (author), Yang, Shufan (author), Fioranelli, F. (author), Romain, Olivier (author)As the number of older adults increases worldwide, new paradigms for indoor activity monitoring are required to keep people living at home independently longer. Radar-based human activity recognition has been identified as a sensing modality of choice because it is privacy-preserving and does not require end-users compliance or manipulation. In...conference paper 2020
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Shrestha, Aman (author), Li, Haobo (author), Kernec, Julien le (author), Fioranelli, F. (author)Recognition of human movements with radar for ambient activity monitoring is a developed area of research that yet presents outstanding challenges to address. In real environments, activities and movements are performed with seamless motion, with continuous transitions between activities of different duration and a large range of dynamic...journal article 2020
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Turpin, Alex (author), Musarra, Gabriella (author), Kapitany, Valentin (author), Tonolini, Francesco (author), Lyons, Ashley (author), Starshynov, Ilya (author), Villa, Federica (author), Conca, Enrico (author), Fioranelli, F. (author)Traditional paradigms for imaging rely on the use of a spatial structure, either in the detector (pixels arrays) or in the illumination (patterned light). Removal of the spatial structure in the detector or illumination, i.e., imaging with just a single-point sensor, would require solving a very strongly ill-posed inverse retrieval problem...journal article 2020
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Gurbuz, Sevgi Z. (author), Rahman, M. Mahbubur (author), Kurtoglu, Emre (author), Macks, Trevor (author), Fioranelli, F. (author)Deep neural networks have become increasingly popular in radar micro-Doppler classification; yet, a key challenge, which has limited potential gains, is the lack of large amounts of measured data that can facilitate the design of deeper networks with greater robustness and performance. Several approaches have been proposed in the literature...journal article 2020