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16 results on '"Département Electronique et Physique (TSP - EPH)"'

1. X-Vectors: new quantitative biomarkers for early Parkinson's disease detection from speech

Author

Laetitia Jeancolas, Dijana Petrovska-Delacrétaz, Graziella Mangone, Badr-Eddine Benkelfat, Jean-Christophe Corvol, Marie Vidailhet, Stéphane Lehéricy, Habib Benali, Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut Polytechnique de Paris (IP Paris), Département Electronique et Physique (EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), ARMEDIA (ARMEDIA-SAMOVAR), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Service de Neuroradiologie [CHU Pitié-Salpêtrière], CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Traitement de l'Information Pour Images et Communications (TIPIC-SAMOVAR), Concordia University [Montreal], Jeancolas, Laetitia, Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and Département Electronique et Physique (TSP - EPH)

Subjects
FOS: Computer and information sciences, Sound (cs.SD), Computer science, Speech recognition, Parkinson's disease, 02 engineering and technology, [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], Quantitative Biology - Quantitative Methods, Computer Science - Sound, Voice analysis, 0302 clinical medicine, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Audio and Speech Processing (eess.AS), Deep neural networks, Quantitative Methods (q-bio.QM), Original Research, Artificial neural network, Early detection, Speaker recognition, [INFO.INFO-SD] Computer Science [cs]/Sound [cs.SD], Computer Science Applications, MFCC, [INFO.INFO-SD]Computer Science [cs]/Sound [cs.SD], [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Mel-frequency cepstrum, Electrical Engineering and Systems Science - Audio and Speech Processing, X-vectors, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, Microphone, 0206 medical engineering, [INFO.INFO-NE] Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], Biomedical Engineering, Neuroscience (miscellaneous), Context (language use), lcsh:RC321-571, 03 medical and health sciences, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], Classifier (linguistics), FOS: Electrical engineering, electronic engineering, information engineering, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Telediagnosis, Telephone network, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], 020601 biomedical engineering, ComputingMethodologies_PATTERNRECOGNITION, FOS: Biological sciences, Automatic detection, 030217 neurology & neurosurgery, Neuroscience
Abstract

Many articles have used voice analysis to detect Parkinson's disease (PD), but few have focused on the early stages of the disease and the gender effect. In this article, we have adapted the latest speaker recognition system, called x-vectors, in order to detect an early stage of PD from voice analysis. X-vectors are embeddings extracted from a deep neural network, which provide robust speaker representations and improve speaker recognition when large amounts of training data are used. Our goal was to assess whether, in the context of early PD detection, this technique would outperform the more standard classifier MFCC-GMM (Mel-Frequency Cepstral Coefficients - Gaussian Mixture Model) and, if so, under which conditions. We recorded 221 French speakers (including recently diagnosed PD subjects and healthy controls) with a high-quality microphone and with their own telephone. Men and women were analyzed separately in order to have more precise models and to assess a possible gender effect. Several experimental and methodological aspects were tested in order to analyze their impacts on classification performance. We assessed the impact of audio segment duration, data augmentation, type of dataset used for the neural network training, kind of speech tasks, and back-end analyses. X-vectors technique provided better classification performances than MFCC-GMM for text-independent tasks, and seemed to be particularly suited for the early detection of PD in women (7 to 15% improvement). This result was observed for both recording types (high-quality microphone and telephone)., Submitted

Published
2021
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2. Benchmarking Quality-Dependent and Cost-Sensitive Score-Level Multimodal Biometric Fusion Algorithms

Author

Bernadette Dorizzi, Fernando Alonso-Fernandez, L. Allano, Albert Ali Salah, Tobias Scheidat, Norman Poh, Javier Ortega-Garcia, Donald E. Maurer, Julian Fierrez, John P. Baker, O. Fatukasi, Harald Ganster, Thirimachos Bourlai, Josef Kittler, Claus Vielhauer, Onkar Ambekar, UAM. Departamento de Ingeniería Informática, Análisis y Tratamiento de Voz y Señales Biométricas (ING EPS-002), Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey (UNIS), Lane Department of Computer Science and Electrical Engineering [Virginia] (LCSEE), West Virginia University [Morgantown], Département Electronique et Physique (EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Biometric Recognition Group (Universidad Autonoma de Madrid) (ATVS), Centrum Wiskunde & Informatica (CWI), Johns Hopkins University Applied Physics Laboratory [Laurel, MD] (APL), Institute of Digital Image Processing (Joanneum Research) (DIP), Intelligent Systems Lab Amsterdam - Intelligent Sensory Information Systems (University of Amsterdam) (ISLA-ISIS), Department of Informatics and Media (University of Applied Sciences Brandenburg), Institut für Technische und Betriebliche Informationssysteme (Otto-von-Guericke-Universität Magdeburg) (ITI), Signals and Images, and Département Electronique et Physique (TSP - EPH)

Subjects
FOS: Computer and information sciences, Computer Science - Cryptography and Security, Biometrics, Computer Networks and Communications, Computer science, Computer Vision and Pattern Recognition (cs.CV), Data_MISCELLANEOUS, Computer Science - Computer Vision and Pattern Recognition, Access control, Signalbehandling, 02 engineering and technology, [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR], Software, Cost-sensitive fusion, 0202 electrical engineering, electronic engineering, information engineering, Biometric database, Safety, Risk, Reliability and Quality, Quality-based fusion, Informática, Authentication, business.industry, Fingerprint (computing), Multimodal biometric authentication, 020206 networking & telecommunications, Benchmarking, Security controls, Signal Processing, Benchmark (computing), 020201 artificial intelligence & image processing, business, Algorithm, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Cryptography and Security (cs.CR)
Abstract

Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works., Automatically verifying the identity of a person by means of biometrics (e.g., face and fingerprint) is an important application in our day-to-day activities such as accessing banking services and security control in airports. To increase the system reliability, several biometric devices are often used. Such a combined system is known as a multimodal biometric system. This paper reports a benchmarking study carried out within the framework of the BioSecure DS2 (Access Control) evaluation campaign organized by the University of Surrey, involving face, fingerprint, and iris biometrics for person authentication, targeting the application of physical access control in a medium-size establishment with some 500 persons. While multimodal biometrics is a well-investigated subject in the literature, there exists no benchmark for a fusion algorithm comparison. Working towards this goal, we designed two sets of experiments: quality-dependent and cost-sensitive evaluation. The quality-dependent evaluation aims at assessing how well fusion algorithms can perform under changing quality of raw biometric images principally due to change of devices. The cost-sensitive evaluation, on the other hand, investigates how well a fusion algorithm can perform given restricted computation and in the presence of software and hardware failures, resulting in errors such as failure-to-acquire and failure-to-match. Since multiple capturing devices are available, a fusion algorithm should be able to handle this nonideal but nevertheless realistic scenario. In both evaluations, each fusion algorithm is provided with scores from each biometric comparison subsystem as well as the quality measures of both the template and the query data. The response to the call of the evaluation campaign proved very encouraging, with the submission of 22 fusion systems. To the best of our knowledge, this campaign is the first attempt to benchmark quality-based multimodal fusion algorithms. In the presence of changing - - image quality which may be due to a change of acquisition devices and/or device capturing configurations, we observe that the top performing fusion algorithms are those that exploit automatically derived quality measurements. Our evaluation also suggests that while using all the available biometric sensors can definitely increase the fusion performance, this comes at the expense of increased cost in terms of acquisition time, computation time, the physical cost of hardware, and its maintenance cost. As demonstrated in our experiments, a promising solution which minimizes the composite cost is sequential fusion, where a fusion algorithm sequentially uses match scores until a desired confidence is reached, or until all the match scores are exhausted, before outputting the final combined score., This evaluation was made possible thanks to the EU funding from the following projects: BioSecure (www.biosecure.info) and Mobio (www.mobioproject.org). The participating teams are supported by their respective national fund bodies: the Dutch BSIK/BRICKS project and the Spanish project TEC2006-13141-C03-03.

Published
2021
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3. A new protocol for multi-biometric systems' evaluation maintaining the dependencies between biometric scores

Author

Lorene Allano, Sonia Garcia-Salicetti, Bernadette Dorizzi, Laboratoire d'Intégration des Systèmes et des Technologies (LIST), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Département Electronique et Physique (EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), and Département Electronique et Physique (TSP - EPH)

Subjects
Dependency (UML), Biometrics, Computer science, Chimeric" persons, Multibiometric scores' fusion, 020206 networking & telecommunications, 02 engineering and technology, Mutual information, computer.software_genre, Independency tests, Independency criteria, Clustering, Artificial Intelligence, Signal Processing, Performance evaluation, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Computer Vision and Pattern Recognition, Data mining, "Chimeric" persons, Cluster analysis, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, computer, Protocol (object-oriented programming), Software
Abstract

International audience; We address the problem of measuring the dependency of multibiometric systems' scores, using Kolmogorov-Smirnov and Mutual Information criteria, and studying the validity of performance evaluation on chimeric persons. On the NIST-BSSR1 database, we formalize a common assumption in the literature: for independent scores, multibiometric systems can be evaluated on "random chimeric" persons. We show that this is not valid for dependent scores and propose a novel protocol for building "cluster-based chimeric" persons maintaining the level of dependency between scores. Finally, we show that performance evaluation for dependent modalities on such persons is equivalent to that obtained on "real" persons.

Published
2012
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4. Ring-based PON supporting multiple optical private networks using OCDMA technique

Author

Steevy Cordette, Philippe Gallion, Catherine Lepers, Mohammad Gharaei, Ihsan Fsaifes, Laboratoire Traitement et Communication de l'Information (LTCI), Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Département Electronique et Physique (EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique des Lasers, Atomes et Molécules - UMR 8523 (PhLAM), Université de Lille-Centre National de la Recherche Scientifique (CNRS), and Département Electronique et Physique (TSP - EPH)

Subjects
Computer science, Throughput, 02 engineering and technology, Optical CDMA, 01 natural sciences, Passive optical network, 010309 optics, 020210 optoelectronics & photonics, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Optical line termination, Electrical and Electronic Engineering, Optical access networks, Network architecture, PON, Access network, business.industry, Code division multiple access, Ring network, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials, 10G-PON, [SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic, business, Telecommunications, Computer network
Abstract

International audience; This work is a novel attempt to provide local communications for multiple optical private networks (PNs) within ring-based passive optical network (PON). In order to improve network throughput performance, PNs traffic is decentralized from PON traffic let no extra traffic management into optical line terminal (OLT). To achieve multiple secure optical private networking over ring-based PON layout, optical code division multiple access (OCDMA) technique is applied. This technique leads to interconnect optical network units (ONUs) in the same PN sharing the same codeword while other PNs benefiting from different codewords. This scheme can be used in access networks to establish discrete communications between different sites in an enterprise or a university campus or even a residential accommodation. The proposed network architecture is then set up and its bit error rate performance is experimentally demonstrated. Finally, the network scalability and throughput performance of the proposed scheme are analyzed

Published
2010
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5. Link Design and Legacy Amplifier Limitation in Flex-grid Optical Networks

Author

Nicolas Brochier, Bernard Cousin, Mohamad Kanj, Jean-Luc Auge, Djamel Amar, Esther Le Rouzic, Catherine Lepers, Orange Labs [Lannion], France Télécom, Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Département Electronique et Physique (TSP - EPH), Centre National de la Recherche Scientifique (CNRS), Advanced technologies for operated networks (ADOPNET), Université de Rennes (UR)-Télécom Bretagne-RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES (IRISA-D2), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Université de Rennes (UR), Institut de Recherche Technologique b-com (IRT b-com), European Project: SASER, Département Electronique et Physique (EPH), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Télécom Bretagne-RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES (IRISA-D2), CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA), and Université de Rennes (UNIV-RENNES)

Subjects
lcsh:Applied optics. Photonics, Computer science, 02 engineering and technology, Optical switch, flex-grid, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 020210 optoelectronics & photonics, Optical Transport Network, 0202 electrical engineering, electronic engineering, information engineering, lcsh:QC350-467, Optical power limitation, Electrical and Electronic Engineering, Optical communications repeater, business.industry, Optical cross-connect, Amplifier, Electrical engineering, lcsh:TA1501-1820, Spectral efficiency, Optical performance monitoring, Atomic and Molecular Physics, and Optics, network dimensioning, Optical transistor, business, link design, lcsh:Optics. Light, Computer network
Abstract

International audience; Flex-grid technology is an effective mean to improve the spectral efficiency of optical communications. For a given amplifier spectral bandwidth, it gives rise to the increase of the number of optical channels as it reduces the channel spacing. Therefore, in order to reap full benefits from flex-grid saved spectrum, further amplification power is required with respect to conventional fixed grid. This is a strong limitation if the legacy amplifiers cannot meet this new requirement due to their optical power limits. In this work, we demonstrate that exploiting the link margins allows supporting this increase while maintaining in use legacy amplifiers.

Published
2016
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6. Multilayer restoration in elastic optical networks

Author

Nicolas Brochier, Djamel Amar, Esther Le Rouzic, Catherine Lepers, Orange Labs [Lannion], France Télécom, Département Electronique et Physique (EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Centre National de la Recherche Scientifique (CNRS), European Project: SASER, and Département Electronique et Physique (TSP - EPH)

Subjects
[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Computer science, business.industry, Backup, Context (language use), Elasticity (economics), business, Computer network, Transponder
Abstract

International audience; Optical restoration is known to be an effective way to save on network overall cost, using the same available equipment previously used before the failure occurs. However, when backup paths are too long, some regenerators can be required bringing into question the expected gain. In this work, we show that transponder datarate elasticity is a successful approach to address this issue, taking benefit of best effort traffic low priority in a multilayer context.

Published
2015
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7. Spectrum fragmentation issue in flexible optical networks: analysis and good practices

Author

Nancy Perrot, Nicolas Brochier, Catherine Lepers, Jean-Luc Auge, Esther Le Rouzic, Djamel Amar, Orange Labs [Lannion], France Télécom, Département Electronique et Physique (TSP - EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Centre National de la Recherche Scientifique (CNRS), Orange Labs [Issy les Moulineaux], European Project: SASER, and Département Electronique et Physique (EPH)

Subjects
Computer Networks and Communications, business.industry, Computer science, Distributed computing, Bandwidth (signal processing), Core network, Context (language use), Blocking (statistics), Grid, Atomic and Molecular Physics, and Optics, Market fragmentation, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Operator (computer programming), Hardware and Architecture, Metric (mathematics), Electrical and Electronic Engineering, business, Software, Computer network
Abstract

International audience; Flexible grid optical networks allow an efficient utilization of spectrum resources using 12.5-GHz frequency slot multiples instead of a fixed spacing, introducing however spectrum fragmentation (SF). In the literature, SF is often assumed to be a serious problem specifically in a dynamic traffic context. It is mostly related to the bandwidth blocking ratio due to the lack of relevant comparison criteria and efficient metrics. Besides, in operator core network, traffic behavior is instead incremental and it is forecasted for short periods of time in addition to some operational constraints that make of it a specific context. In this work, we present an exhaustive analysis and an accurate evaluation for SF issue in flexible optical networks. We also propose new metric for fragmentation measurements and some approaches to address such a problem.

Published
2015
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8. Thermal-Signature-Based Sleep Analysis Sensor

Author

Andrea Pinna, Dan Istrate, Ali Seba, Toufik Guettari, Patrick Garda, Adrien Ugon, Biomécanique et Bioingénierie (BMBI), Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS), Systèmes Electroniques (SYEL), Laboratoire d'Informatique de Paris 6 (LIP6), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Recherche et d'Innovation Technologique (ESIGETEL) (LRIT), Département Electronique et Physique (TSP - EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), and Département Electronique et Physique (EPH)

Subjects
medicine.medical_specialty, Computer science, Computer Networks and Communications, media_common.quotation_subject, 0206 medical engineering, 02 engineering and technology, Polysomnography, Electromyography, Audiology, Electroencephalography, thermopile sensor, actimetry, thermal camera, data classification, tele-medicine, polysomnography, 03 medical and health sciences, Muscle tone, 0302 clinical medicine, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, medicine, ComputingMilieux_MISCELLANEOUS, Simulation, media_common, Sleep Stages, lcsh:T58.5-58.64, medicine.diagnostic_test, Hypnogram, lcsh:Information technology, business.industry, Communication, biomedical_chemical_engineering, Electrooculography, 020601 biomedical engineering, Human-Computer Interaction, medicine.anatomical_structure, Sleep (system call), business, 030217 neurology & neurosurgery, Vigilance (psychology)
Abstract

This paper address the development of a new technic in the sleep analysis domain. Sleep is defined as a periodic physiological state during which vigilance is suspended and reactivity to external stimulations diminished. We sleep on average between six and nine hours per night and our sleep is composed of four to six cycles of about 90-minutes each. Each of these cycles is composed of a succession of several stages of sleep, more or less deep. The analysis of sleep is usually done using a polysomnography. This examination consists of recording, among other things, electrical cerebral activity by electroencephalography (EEG), ocular movements by electrooculography (EOG) and chin muscle tone by electromyography (EMG). The recording is done mostly in a hospital, more specifically in a service for monitoring the pathologies related to sleep. The readings are then interpreted manually by an expert to generate a hypnogram, a curve showing the succession of sleep stages during the night in 30-second epochs. The proposed method is based on the follow-up of the thermal signature that makes it possible to classify the activity into three classes: "awakening", "calm sleep" and "agitated sleep". The contribution of this non-invasive method is part of the screening of sleep disorders, to be validated by a more complete analysis of the sleep. The measure provided by this new system, based on temperature monitoring (patient and ambient), aims to be integrated into the tele-medicine platform developed within the framework of the Smart-EEG project by the SYEL - SYstèmes ELectroniques team. Analysis of the data collected during the first surveys carried out with this method showed a correlation between thermal signature and activity during sleep. The advantage of this method lies in its simplicity and the possibility of carrying out measurements of activity during sleep and without direct contact with the patient at home or hospitals.

Published
2017
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9. The First ICB Competition on Iris Recognition

Author

Koichi Noda, Peihua Li, Nadia Othman, Valérian Némesin, Tieniu Tan, Man Zhang, Fernando Alonso-Fernandez, Jing Liu, Akanksha Joshi, Zhenan Sun, Wu Su, Edmundo Hoyle, Center for Research on Intelligent Perception and (Institute of Automation, Chinese Academy of Sciences), Department of Automation (University of Science and Technology of China), Zhuhai YiSheng Electronics Technology Co, LDT (.), Halmstad University, GSM (GSM), Institut FRESNEL (FRESNEL), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), Département Electronique et Physique (TSP - EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Centre National de la Recherche Scientifique (CNRS), Nihon System Laboratory (.), Dalian University of Technology, Universidade Federal do Rio de Janeiro (UFRJ), Centre for Development of Advanced Computing (.), Centre National de la Recherche Scientifique (CNRS)-École Centrale de Marseille (ECM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-École Centrale de Marseille (ECM)-Aix Marseille Université (AMU), Département Electronique et Physique (EPH), and School of Information and Communication Engineering (Dalian University of Technology)

Subjects
Computer science, Speech recognition, Iris recognition, Signalbehandling, 02 engineering and technology, Variation (game tree), urologic and male genital diseases, 0202 electrical engineering, electronic engineering, information engineering, medicine, cardiovascular diseases, Iris (anatomy), Signal processing, business.industry, urogenital system, Rank (computer programming), fungi, 020206 networking & telecommunications, Pattern recognition, Image segmentation, female genital diseases and pregnancy complications, Identification (information), medicine.anatomical_structure, Signal Processing, 020201 artificial intelligence & image processing, Artificial intelligence, Noise (video), business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; Iris recognition becomes an important technology in our society. Visual patterns of human iris provide rich texture information for personal identification. However, it is greatly challenging to match intra-class iris images with large variations in unconstrained environments because of noises, illumination variation, heterogeneity and so on. To track current state-of-the-art algorithms in iris recognition, we organized the first ICB Competition on Iris Recognition in 2013 (or ICIR2013 shortly). In this competition, 8 participants from 6 countries submitted 13 algorithms totally. All the algorithms were trained on a public database(e.g. CASIA-Iris-Thousand[3]) and evaluated on an unpublished database. The testing results in terms of False Non-match Rate (FNMR) when False Match Rate (FMR) is 0:0001 are taken to rank the submitted algorithms

Published
2014
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10. Multi-shot SURF-based person re-identification via sparse representation

Author

Mohamed Ibn Khedher, Bernadette Dorizzi, Mounim A. El Yacoubi, Département Electronique et Physique (EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Centre National de la Recherche Scientifique (CNRS), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), and Département Electronique et Physique (TSP - EPH)

Subjects
Majority rule, Matching (statistics), Biometrics, Computer science, business.industry, Shot (filmmaking), Video surveillance, Feature extraction, SURF, Context (language use), Pattern recognition, Sparse approximation, Re-identification, Point (geometry), Artificial intelligence, business, Sparsity, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; We present in this paper a multi-shot human re-identification system from video sequences based on SURF matching. Our contribution is about the matching step which is crucial. In this context, we propose a new method of SURF matching via sparse representation. Each SURF Interest Point in the test sequence is represented by a sparse representation of SURFs points in the reference dataset. For efficiency purposes, a dynamic dictionary is selected for each SURF from this dataset through KD-Tree Neighborhood search. Then a majority vote rule is applied to classify the test sequence. This approach is evaluated on two public datasets : PRID-2011 and CAVIAR4REID. The experimental results show that our approach compares favorably with and outperforms current state-of-the-art on the two datasets by 1% to 7%.

Published
2013
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11. Neural Correlates of Learning in the Prefrontal Cortex of the Monkey: A Predictive Model

Author

Bernadette Dorizzi, Wolfram Schultz, Yves Burnod, Emmanuel Guigon, Action-Neuroimagerie-Modelisation (ANIM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Département Electronique et Physique (TSP - EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Réseau National des Systèmes Complexes (RNSC), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CGE-CPU-Centre National de la Recherche Scientifique (CNRS), and Département Electronique et Physique (EPH)

Subjects
Time Factors, Computer science, Cognitive Neuroscience, Memorization, Task (project management), 03 medical and health sciences, Cellular and Molecular Neuroscience, 0302 clinical medicine, Animals, Learning, Prefrontal cortex, 030304 developmental biology, Motor Neurons, 0303 health sciences, Neural correlates of consciousness, Artificial neural network, Working memory, Macaca mulatta, Anticipation, Frontal Lobe, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Neural Networks, Computer, Consumer neuroscience, Neuroscience, Mathematics, 030217 neurology & neurosurgery, Cognitive psychology
Abstract

International audience; The principles underlying the organization and operation of the prefrontal cortex have been addressed by neural network modeling. The involvement of the prefrontal cortex in the temporal organization of behavior can be defined by processing units that switch between two stable states of activity (bistable behavior) in response to synaptic inputs. Long-term representation of programs requiring short-term memory can result from activity-dependent modifications of the synaptic transmission controlling the bistable behavior. After learning, the sustained activity of a given neuron represents the selective memorization of a past event, the selective anticipation of a future event, and the predictability of reinforcement. A simulated neural network illustrates the abilities of the model (1) to learn, via a natural step-by-step training protocol, the paradigmatic task (delayed response) used for testing prefrontal neurons in primates, (2) to display the same categories of neuronal activities, and (3) to predict how they change during learning. In agreement with experimental data, two main types of activity contribute to the adaptive properties of the network. The first is transient activity time-locked to events of the task and its profile remains constant during successive training stages. The second is sustained activity that undergoes nonmonotonic changes with changes in reward contingency that occur during the transition between stages.

Published
1995
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12. INS and GNSS fusion enhancement based on a weighted reliabilities approach

Author

Alexandre Patarot, Alexandre Vervisch-Picois, Nel Samama, Mehdi Boukallel, Sylvie Lamy-Perbal, Département Electronique et Physique (EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Laboratoire d'Intégration des Systèmes et des Technologies (LIST), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Centre National de la Recherche Scientifique (CNRS), Département Electronique et Physique (TSP - EPH), and Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA))

Subjects
GNSS augmentation, Computer science, Real-time computing, 02 engineering and technology, 01 natural sciences, law.invention, Weighted reliabilities, 0203 mechanical engineering, Inertial measurement unit, Relay, law, Dead reckoning, Fusion, Hybrid positioning, Inertial navigation system, Pedestrian navigation system, 020301 aerospace & aeronautics, GNSS, business.industry, 010401 analytical chemistry, 0104 chemical sciences, GNSS applications, Embedded system, Satellite navigation, Air navigation, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; The maturity of outdoor positioning systems based on satellites encourages indoor positioning research to focus on radio technologies. However, specific infrastructures often have to be deployed in this case. Then, inertial sensors appear to be a good relay to radio systems. A system fusing INS and GNSS could thereby compute a position anywhere. Yet, taking advantage of each sensor requires to know which one is the most reliable in real-time. Therefore, a quantification of the sensors' reliabity is introduced in this paper. This approach aims at running both outdoors and indoors. Moreover, the complexity of algorithms is carefully studied here to fit the user mobility requirements. Experiments are conducted in reproducible situations and results show that taking reliabilities into account benefits the hybridization of INS and GNSS for positioning in both convenient and constrained environments.

Published
2012
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13. Software Radio FM Broadcast Receiver for Audio Indexing Applications

Author

F. de Dieuleveult, B. Happi Tietche, Bertrand Granado, Gérard Chollet, Sylvain Viateur, Houssemeddine Khemiri, L. Benaroya, Bruce Denby, Dijana Petrovska-Delacrétaz, Raphaël Blouet, Olivier Romain, Khalil Hachicha, ASTRE [Cergy-Pontoise], Equipes Traitement de l'Information et Systèmes (ETIS - UMR 8051), Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY)-Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY), Laboratoire Signaux, Modèles et Apprentissage Statistique (SIGMA), Ecole Superieure de Physique et de Chimie Industrielles de la Ville de Paris (ESPCI Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Analyse et synthèse sonores [Paris], Sciences et Technologies de la Musique et du Son (STMS), Institut de Recherche et Coordination Acoustique/Musique (IRCAM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche et Coordination Acoustique/Musique (IRCAM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY), Laboratoire Traitement et Communication de l'Information (LTCI), Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Département Traitement du Signal et des Images (TSI), Télécom ParisTech-Centre National de la Recherche Scientifique (CNRS), Département Electronique et Physique (TSP - EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Centre National de la Recherche Scientifique (CNRS), YACAST, Yacast, Systèmes Electroniques (SYEL), Laboratoire d'Informatique de Paris 6 (LIP6), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Intégration des Systèmes et des Technologies (LIST), Département Electronique et Physique (EPH), and Granado, Bertrand

Subjects
[INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR], [INFO.INFO-AR] Computer Science [cs]/Hardware Architecture [cs.AR], Broadcast engineering, business.industry, Computer science, Search engine indexing, 020206 networking & telecommunications, 02 engineering and technology, Software-defined radio, Radio spectrum, [SPI.TRON] Engineering Sciences [physics]/Electronics, [SPI.TRON]Engineering Sciences [physics]/Electronics, 020204 information systems, Embedded system, 0202 electrical engineering, electronic engineering, information engineering, Demodulation, Channel (broadcasting), business, Frequency modulation, Radio broadcasting, Computer hardware, ComputingMilieux_MISCELLANEOUS
Abstract

International audience; Broadcast radio is a rich but underexploited source of multimedia content. To make this available to users, it will be indispensable to develop new types of navigators capable of searching the large quantities of information contained in the radio bands. The article introduces a prototype of a new software radio enabled broadcast media navigator implemented on an FPGA, which is able to demodulate simultaneously all channel in the FM band and perform audio indexing upon them, ultimately using a Graphics Processing Unit.

Published
2012
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14. 2D face recognition in the IV 2 evaluation campaign

Author

Bernadette Dorizzi, Dijana Petrovska-Delacrétaz, Anouar Mellakh, Souhila Guerfi, Anis Chaari, Joseph Colineau, Johan d'Hose, Sylvie Lelandais, Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Centre National de la Recherche Scientifique (CNRS), Informatique, Biologie Intégrative et Systèmes Complexes (IBISC), Université d'Évry-Val-d'Essonne (UEVE)-Centre National de la Recherche Scientifique (CNRS), Thales Research and Technology [Palaiseau], THALES [France], Département Electronique et Physique (TSP - EPH), IV2 project, THALES, Département Electronique et Physique (EPH), and Centre National de la Recherche Scientifique (CNRS)-Université d'Évry-Val-d'Essonne (UEVE)

Subjects
Computer science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Evaluation campaign, 02 engineering and technology, Machine learning, computer.software_genre, Facial recognition system, Database, 03 medical and health sciences, 0302 clinical medicine, Robustness (computer science), 2D face recognition, 0202 electrical engineering, electronic engineering, information engineering, [INFO]Computer Science [cs], Training set, business.industry, Pattern recognition, Linear discriminant analysis, Appearance-based algorithms, ComputingMethodologies_PATTERNRECOGNITION, Principal component analysis, 020201 artificial intelligence & image processing, Artificial intelligence, business, computer, 030217 neurology & neurosurgery
Abstract

International audience; In this paper, the first evaluation campaign on 2D-face images using the multimodal IV 2 database is presented. The five appearance-based algorithms in competition are evaluated on four experimental protocols, including experiments with challenging illumination and pose variabilities. The results confirm the advantages of the Linear Discriminant Analysis (LDA) and the importance of the training set for the Principal Component Analysis (PCA) based approaches. The experiments show the robustness of the Gabor based approach combined with LDA, in order to cope with challenging face recognition conditions. This evaluation shows the interest and the richness of the IV 2 multimodal database.

Published
2009
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15. A multimodal platform for database recording and elderly people monitoring

Author

Hamid Medjahed, Imad Belfeki, Jerome Boudy, Bernadette Dorizzi, Dan Istrate, François Steenkeste, Jean-Louis Baldinger, Rodrigo Varejão Andreão, Vinícius Aversari Martins, Département Electronique et Physique (EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Laboratoire Réseaux mobiles et systèmes embarqués (ESIGETEL) (RMSE), Departamento de Engenharia Elétrica [Vitoria] (Universidade Federal do Espirito Santo) (UFES ), Epidémiologie et Analyses en Santé Publique : risques, maladies chroniques et handicap (LEASP), Institut National de la Santé et de la Recherche Médicale (INSERM), Télécom SudParis & Institut Mines-Télécom Business School, Médiathèque, and Département Electronique et Physique (TSP - EPH)

Subjects
Computer science, Medical signal acquisition, media_common.quotation_subject, 0206 medical engineering, 02 engineering and technology, computer.software_genre, 01 natural sciences, 010104 statistics & probability, Originality, Synchronization (computer science), Elderly people, 0101 mathematics, Architecture, media_common, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Modalities, Multimedia, Point (typography), Healthcare, wearable sensors and systems, Telemedicine for patient at home, Smart house, 020601 biomedical engineering, computer, Biomedical multimodal database, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Acoustic signal processing
Abstract

International audience; This paper describes a new platform for monitoring elderly people living alone. An architecture is proposed that includes three subsystems, with various types of sensors for different sensing modalities incorporated into a smart house. The originality of this system is the combination and the synchronization of three different televigilance modalities for acquiring and recording data. The paper focuses on the acquisition step of the system, usage and point out possibilities for future work

Published
2008
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16. A load-balancing distributed platform based on differentiated services for a telecare application

Author

Antonio de Barros Serra, Giovanni Cordeiro Barroso, J. Boudy, Dominique Gaïti, Département Electronique et Physique (EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Environnement de Réseaux Autonomes (ERA), Institut Charles Delaunay (ICD), Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS)-Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS), Universidade Federal do Ceará = Federal University of Ceará (UFC), and Département Electronique et Physique (TSP - EPH)

Subjects
020203 distributed computing, 020205 medical informatics, Computer science, business.industry, Telecare, Quality of service, Distributed computing, Services computing, Distributed object, 02 engineering and technology, Mobile QoS, Load balancing (computing), Differentiated service, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Differentiated services, 0202 electrical engineering, electronic engineering, information engineering, business, Computer network
Abstract

International audience; Telecare applications are composed by different kinds of services. Some of these services require high level availability and performance because they involve human lives. One possible solution to improve availability and performance in these applications is to make an efficient distribution of service avoiding concentration of several tasks on only one server. This work presents a load-balancing platform based on differentiation of services that increases application-level QoS (quality of service) in a telecare application. The platform allows the coexistence of Internet services and distributed objects. We also present experimental results showing that the platform balances the imposed load and differentiates the QoS offered to different services.

Published
2004
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