Professor Olivier Romain

  • Affiliate (School of Engineering)

Publications

List by: Type | Date

Jump to: 2021 | 2020
Number of items: 11.

2021

Guo, J., Shu, C., Zhou, Y., Wang, K., Fioranelli, F. , Romain, O. and Le Kernec, J. (2021) Complex Field-based Fusion Network for Human Activities Classification With Radar. In: IET International Radar Conference 2020, Chongqing City, China, 4-6 Nov 2020, pp. 68-73. ISBN 9781839535406 (doi:10.1049/icp.2021.0572)

Jiang, H., Fioranelli, F. , Yang, S. , Romain, O. and Le Kernec, J. (2021) Human Activity Classification Using Radar Signal and RNN Networks. In: IET International Radar Conference 2020, Chongqing City, China, 4-6 Nov 2020, pp. 1595-1599. ISBN 9781839535406 (doi:10.1049/icp.2021.0556)

Li, X., Fioranelli, F. , Yang, S. , Romain, O. and Le Kernec, J. (2021) Radar-Based Hierarchical Human Activity Classification. In: IET International Radar Conference 2020, Chongqing City, China, 4-6 Nov 2020, pp. 1373-1379. ISBN 9781839535406 (doi:10.1049/icp.2021.0566)

Li, Z., Fioranelli, F. , Yang, S. , Zhang, L. , Romain, O., He, Q., Cui, G. and Le Kernec, J. (2021) Multi-domains based Human Activity Classification in Radar. In: IET International Radar Conference 2020, Chongqing City, China, 4-6 Nov 2020, pp. 1744-1749. ISBN 9781839535406 (doi:10.1049/icp.2021.0557)

Zhou, B., Le Kernec, J. , Yang, S. , Fioranelli, F. , Romain, O. and Zhao, Z. (2021) Interferometric Radar for Activity Recognition and Benchmarking in Different Radar Geometries. In: IET International Radar Conference 2020, Chongqing City, China, 4-6 Nov 2020, pp. 1515-1520. ISBN 9781839535406 (doi:10.1049/icp.2021.0571)

Centre National de la Recherche Scientifique (2021) Dispositif de caracterisation de l'actimetrie d'un sujet en temps reel = Device for Characterizing the Actimetry of a Subject in Real Time. .

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, Z., Le Kernec, J. , Fioranelli, F. , Romain, O., Zhang, L. and Yang, S. (2021) A LSTM Approach to Short-Range Personnel Recognition Using Radar Signals. In: 2021 IEEE Radar Conference (RadarConf21), Atlanta, GA, USA, 7-14 May 2021, ISBN 9781728176093 (doi:10.1109/RadarConf2147009.2021.9455218)

2020

Jia, M., Li, S., Le Kernec, J. , Yang, S. , Fioranelli, F. and Romain, O. (2020) Human Activity Classification With Radar Signal Processing and Machine Learning. In: 5th International Conference on the UK-China Emerging Technologies (UCET 2020), Glasgow, UK, 20-21 Aug 2020, ISBN 9781728194882 (doi:10.1109/UCET51115.2020.9205461)

Li, S., Jia, M., Le Kernec, J. , Yang, S. , Fioranelli, F. and Romain, O. (2020) Elderly Care: Using Deep Learning for Multi-Domain Activity Classification. In: 5th International Conference on the UK-China Emerging Technologies (UCET 2020), Glasgow, UK, 20-21 Aug 2020, ISBN 9781728194882 (doi:10.1109/UCET51115.2020.9205464)

Li, X., Li, Z., Fioranelli, F. , Yang, S. , Romain, O. and Le Kernec, J. (2020) Hierarchical radar data analysis for activity and personnel recognition. Remote Sensing, 12(14), 2237. (doi: 10.3390/rs12142237)

This list was generated on Tue Sep 28 14:41:20 2021 BST.
Number of items: 11.

Articles

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, X., Li, Z., Fioranelli, F. , Yang, S. , Romain, O. and Le Kernec, J. (2020) Hierarchical radar data analysis for activity and personnel recognition. Remote Sensing, 12(14), 2237. (doi: 10.3390/rs12142237)

Conference Proceedings

Guo, J., Shu, C., Zhou, Y., Wang, K., Fioranelli, F. , Romain, O. and Le Kernec, J. (2021) Complex Field-based Fusion Network for Human Activities Classification With Radar. In: IET International Radar Conference 2020, Chongqing City, China, 4-6 Nov 2020, pp. 68-73. ISBN 9781839535406 (doi:10.1049/icp.2021.0572)

Jiang, H., Fioranelli, F. , Yang, S. , Romain, O. and Le Kernec, J. (2021) Human Activity Classification Using Radar Signal and RNN Networks. In: IET International Radar Conference 2020, Chongqing City, China, 4-6 Nov 2020, pp. 1595-1599. ISBN 9781839535406 (doi:10.1049/icp.2021.0556)

Li, X., Fioranelli, F. , Yang, S. , Romain, O. and Le Kernec, J. (2021) Radar-Based Hierarchical Human Activity Classification. In: IET International Radar Conference 2020, Chongqing City, China, 4-6 Nov 2020, pp. 1373-1379. ISBN 9781839535406 (doi:10.1049/icp.2021.0566)

Li, Z., Fioranelli, F. , Yang, S. , Zhang, L. , Romain, O., He, Q., Cui, G. and Le Kernec, J. (2021) Multi-domains based Human Activity Classification in Radar. In: IET International Radar Conference 2020, Chongqing City, China, 4-6 Nov 2020, pp. 1744-1749. ISBN 9781839535406 (doi:10.1049/icp.2021.0557)

Zhou, B., Le Kernec, J. , Yang, S. , Fioranelli, F. , Romain, O. and Zhao, Z. (2021) Interferometric Radar for Activity Recognition and Benchmarking in Different Radar Geometries. In: IET International Radar Conference 2020, Chongqing City, China, 4-6 Nov 2020, pp. 1515-1520. ISBN 9781839535406 (doi:10.1049/icp.2021.0571)

Li, Z., Le Kernec, J. , Fioranelli, F. , Romain, O., Zhang, L. and Yang, S. (2021) A LSTM Approach to Short-Range Personnel Recognition Using Radar Signals. In: 2021 IEEE Radar Conference (RadarConf21), Atlanta, GA, USA, 7-14 May 2021, ISBN 9781728176093 (doi:10.1109/RadarConf2147009.2021.9455218)

Jia, M., Li, S., Le Kernec, J. , Yang, S. , Fioranelli, F. and Romain, O. (2020) Human Activity Classification With Radar Signal Processing and Machine Learning. In: 5th International Conference on the UK-China Emerging Technologies (UCET 2020), Glasgow, UK, 20-21 Aug 2020, ISBN 9781728194882 (doi:10.1109/UCET51115.2020.9205461)

Li, S., Jia, M., Le Kernec, J. , Yang, S. , Fioranelli, F. and Romain, O. (2020) Elderly Care: Using Deep Learning for Multi-Domain Activity Classification. In: 5th International Conference on the UK-China Emerging Technologies (UCET 2020), Glasgow, UK, 20-21 Aug 2020, ISBN 9781728194882 (doi:10.1109/UCET51115.2020.9205464)

Patents

Centre National de la Recherche Scientifique (2021) Dispositif de caracterisation de l'actimetrie d'un sujet en temps reel = Device for Characterizing the Actimetry of a Subject in Real Time. .

This list was generated on Tue Sep 28 14:41:20 2021 BST.