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Yang, S. et al. (2023) The Human Activity Radar Challenge: benchmarking based on the ’Radar signatures of human activities’ dataset from Glasgow University. IEEE Journal of Biomedical and Health Informatics, 27(4), pp. 1813-1824. (doi: 10.1109/JBHI.2023.3240895)

Shah, S. A., Tahir, A., Le Kernec, J. , Zoha, A. and Fioranelli, F. (2022) Data portability for activities of daily living and fall detection in different environments using radar micro-doppler. Neural Computing and Applications, 34(10), pp. 7933-7953. (doi: 10.1007/s00521-022-06886-2)

Fioranelli, F. and Le Kernec, J. (2021) Radar Sensing for Human Healthcare: Challenges and Results. In: IEEE Sensors 2021, Sydney, Australia, 31 Oct - 04 Nov 2021, ISBN 9781728195018 (doi: 10.1109/SENSORS47087.2021.9639702)

Zhou, B., Lin, Y., Le Kernec, J. , Yang, S. , Fioranelli, F. , Romain, O. and Zhao, Z. (2021) Simulation framework for activity recognition and benchmarking in different radar geometries. IET Radar, Sonar and Navigation, 15(4), pp. 390-401. (doi: 10.1049/rsn2.12049)

Li, H., Le Kernec, J. , Gurbuz, S. Z. and Fioranelli, F. (2021) Sequential human gait classification with distributed radar sensor fusion. IEEE Sensors Journal, 21(6), pp. 7590-7603. (doi: 10.1109/JSEN.2020.3046991)

Iloga, S., Bordat, A., Le Kernec, J. and Romain, O. (2021) Human Activity Recognition based on acceleration data from smartphones using HMMs. IEEE Access, 9, pp. 139336-139351. (doi: 10.1109/ACCESS.2021.3117336)

Li, H., Le Kernec, J. , Mehul, A., Gurbuz, S. Z. and Fioranelli, F. (2020) Distributed Radar Information Fusion for Gait Recognition and Fall Detection. In: 2020 IEEE Radar Conference (RadarConf20), Florence, Italy, 21-25 Sep 2020, ISBN 9781728189420 (doi: 10.1109/RadarConf2043947.2020.9266319)

Shrestha, A., Li, H., Le Kernec, J. and Fioranelli, F. (2020) Continuous human activity classification from FMCW radar with Bi-LSTM networks. IEEE Sensors Journal, 20(22), pp. 13607-13619. (doi: 10.1109/JSEN.2020.3006386)

Li, H., Liang, X., Shrestha, A., Liu, Y., Heidari, H. , Le Kernec, J. and Fioranelli, F. (2020) Hierarchical sensor fusion for micro-gestures recognition with pressure sensor array and radar. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 4(3), pp. 225-232. (doi: 10.1109/JERM.2019.2949456)

Yang, S. , Le Kernec, J. , Fioranelli, F. and Romain, O. (2020) Human Activities Classification in a Complex Space using Raw Radar Data. In: 2019 International Radar Conference, Toulon, France, 23-27 Sept 2019, ISBN 9781728126609 (doi: 10.1109/RADAR41533.2019.171367)

Li, H., Shrestha, A., Heidari, H. , Le Kernec, J. and Fioranelli, F. (2020) Bi-LSTM network for multimodal continuous human activity recognition and fall detection. IEEE Sensors Journal, 20(3), pp. 1191-1201. (doi: 10.1109/JSEN.2019.2946095)

Shah, S. A. and Fioranelli, F. (2019) RF sensing technologies for assisted daily living in healthcare: a comprehensive review. IEEE Aerospace and Electronic Systems Magazine, 34(11), pp. 26-44. (doi: 10.1109/MAES.2019.2933971)

Liang, X., Li, H., Wang, W., Liu, Y., Ghannam, R. , Fioranelli, F. and Heidari, H. (2019) Fusion of wearable and contactless sensors for intelligent gesture recognition. Advanced Intelligent Systems, 1(7), 1900088. (doi: 10.1002/aisy.201900088)

Li, H., Shrestha, A., Heidari, H. , Le Kernec, J. and Fioranelli, F. (2019) Magnetic and radar sensing for multimodal remote health monitoring. IEEE Sensors Journal, 19(20), pp. 8979-8989. (doi: 10.1109/JSEN.2018.2872894)

Li, H., Shrestha, A., Fioranelli, F. , Le Kernec, J. and Heidari, H. (2019) FMCW radar and inertial sensing synergy for assisted living. Journal of Engineering, 2019(20), pp. 6784-6789. (doi: 10.1049/joe.2019.0558)

Li, J., Shrestha, A., Le Kernec, J. and Fioranelli, F. (2019) From Kinect skeleton data to hand gesture recognition with radar. Journal of Engineering, 2019(20), pp. 6914-6919. (doi: 10.1049/joe.2019.0557)

Shrestha, A., Li, H., Fioranelli, F. and Le Kernec, J. (2019) Activity recognition with cooperative radar systems at C and K band. Journal of Engineering, 2019(20), pp. 7100-7104. (doi: 10.1049/joe.2019.0559)

Fioranelli, F. , Shah, S. A. , Li, H., Shrestha, A., Yang, S. and Le Kernec, J. (2019) Radar sensing for healthcare. Electronics Letters, 55(19), pp. 1022-1024. (doi: 10.1049/el.2019.2378)

Shrestha, A., Murphy, C., Johnson, I., Anbulselvam, A., Fioranelli, F. , Le Kernec, J. and Gurbuz, S. Z. (2019) Cross-Frequency Classification of Indoor Activities with DNN Transfer Learning. In: IEEE Radar Conference, Boston, MA, USA, 22-26 Apr 2019, ISBN 9781728116792 (doi: 10.1109/RADAR.2019.8835844)

Fioranelli, F. , Patel, J. , Gürbüz, S. Z., Ritchie, M. and Griffiths, H. (2019) Multistatic Human Micro-Doppler Classification with Degraded/Jammed Radar Data. In: IEEE Radar Conference, Boston, MA, USA, 22-26 Apr 2019, ISBN 9781728116792 (doi: 10.1109/RADAR.2019.8835618)

Ding, C., Hong, H., Zou, Y., Chu, H., Zhu, X., Fioranelli, F. , Le Kernec, J. and Li, C. (2019) Continuous human motion recognition with a dynamic range-Doppler trajectory method based on FMCW radar. IEEE Transactions on Geoscience and Remote Sensing, 57(9), pp. 6821-6831. (doi: 10.1109/TGRS.2019.2908758)

Patel, J. , Fioranelli, F. , Ritchie, M. and Griffiths, H. (2019) Fusion of deep representations in multistatic radar networks to counteract the presence of synthetic jamming. IEEE Sensors Journal, 19(15), pp. 6362-6370. (doi: 10.1109/JSEN.2019.2909685)

Fioranelli, F. , Le Kernec, J. and Shah, S. A. (2019) Radar for healthcare: recognising human activities and monitoring vital signs. IEEE Potentials, 38(4), pp. 16-23. (doi: 10.1109/MPOT.2019.2906977)

Le Kernec, J. , Fioranelli, F. , Ding, C., Zhao, H., Sun, L., Hong, H., Romain, O. and Lorandel, J. (2019) Radar Sensing in Assisted Living: An Overview. In: IEEE MTT-S 2019 International Microwave Biomedical Conference (IMBioC2019), Nanjing, China, 6-8 May 2019, ISBN 9781538673959 (doi: 10.1109/IMBIOC.2019.8777748)

Li, H., Shrestha, A., Heidari, H. , Le Kernec, J. and Fioranelli, F. (2019) Activities Recognition and Fall Detection in Continuous Data Streams Using Radar Sensor. In: IEEE MTT-S 2019 International Microwave Biomedical Conference (IMBioC2019), Nanjing, China, 6-8 May 2019, ISBN 9781538673959 (doi: 10.1109/IMBIOC.2019.8777855)

Fioranelli, F. , Li, H., Le Kernec, J. , Busin, V. , Jonsson, N. , King, G. , Tomlinson, M. and Viora, L. (2019) Radar-based Evaluation of Lameness Detection in Ruminants: Preliminary Results. In: IEEE MTT-S 2019 International Microwave Biomedical Conference (IMBioC2019), Nanjing, China, 6-8 May 2019, ISBN 9781538673959 (doi: 10.1109/IMBIOC.2019.8777830)

Shrestha, A., Le Kernec, J. , Fioranelli, F. , Lin, Y., He, Q., Lorandel, J. and Romain, O. (2019) Elderly care: activities of daily living classification with an S band radar. Journal of Engineering, 2019(21), pp. 7601-7606. (doi: 10.1049/joe.2019.0561)

Le Kernec, J. , Fioranelli, F. , Ding, C., Zhao, H., Sun, L., Hong, H., Lorandel, J. and Romain, O. (2019) Radar signal processing for sensing in assisted living: the challenges associated with real-time implementation of emerging algorithms. IEEE Signal Processing Magazine, 36(4), pp. 29-41. (doi: 10.1109/MSP.2019.2903715)

Li, X., Li, S., Li, H. and Fioranelli, F. (2019) Accuracy Evaluation on the Respiration Rate Estimation using Off-the-shelf Pulse-Doppler Radar. In: IEEE MTT-S 2019 International Microwave Biomedical Conference (IMBioC2019), Nanjing, China, 6-8 May 2019, ISBN 9781538673959 (doi: 10.1109/IMBIOC.2019.8777820)

Lin, Y., Le Kernec, J. , Yang, S. , Fioranelli, F. , Romain, O. and Zhao, Z. (2018) Human activity classification with radar: optimization and noise robustness with iterative convolutional neural networks followed with random forests. IEEE Sensors Journal, 18(23), pp. 9669-9681. (doi: 10.1109/JSEN.2018.2872849)

Loukas, C., Fioranelli, F. , Le Kernec, J. and Yang, S. (2018) Activity Classification Using Raw Range and I & Q Radar Data with Long Short Term Memory Layers. In: 1st International Workshop on Healthcare with Intelligent Sensing, System and Data (HISSD) in CyberSciTech2018, Athens, Greece, 12-15 Aug 2018, pp. 441-445. ISBN 9781538675199 (doi: 10.1109/DASC/PiCom/DataCom/CyberSciTec.2018.00088)

This list was generated on Thu Mar 28 04:22:09 2024 GMT.