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Aurore Jaumard-Hakoun

Aurore Jaumard-Hakoun
Institut pour la Pratique et l'Innovation en PSYchologie appliquée · Recherche

PhD

About

27
Publications
6,700
Reads
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282
Citations
Additional affiliations
October 2016 - September 2017
École Supérieure de Physique et de Chimie Industrielles
Position
  • PostDoc Position
October 2015 - January 2017
Paris Sciences and Letters (PSL) University
Position
  • Project supervisor
October 2013 - October 2015
Polytech Paris-UPMC
Position
  • Research Assistant
Education
February 2013 - September 2016
Sorbonne Université
Field of study
  • Signal processing and machine learning
October 2011 - September 2012
Université de Cergy-Pontoise
Field of study
  • Signal processing, telecommunications and machine learning
September 2009 - September 2012
École Nationale Supérieure de l'Electronique et de ses Applications
Field of study
  • Electronics and Signal Processing

Publications

Publications (27)
Article
The enhancement of body awareness is proposed as one of the cognitive mechanisms that characterize mindfulness. To date, this hypothesis is supported by self-report and behavioral measures but still lacks physiological evidence. The current study investigated relation between trait mindfulness (i.e., individual differences in the ability to be mind...
Article
Full-text available
This article proposes what we call an “EEG-Copeia” for neurofeedback, like the “Pharmacopeia” for psychopharmacology. This paper proposes to define an “EEG-Copeia” as an organized list of scientifically validated EEG markers, characterized by a specific association with an identified cognitive process, that define a psychophysiological unit of anal...
Article
Full-text available
The clinical efficacy of neurofeedback is still a matter of debate. This paper analyzes the factors that should be taken into account in a transdisciplinary approach to evaluate the use of EEG NFB as a therapeutic tool in psychiatry. Neurofeedback is a neurocognitive therapy based on human–computer interaction that enables subjects to train volunta...
Poster
Full-text available
Le neurofeedback est une forme de thérapie cognitive, dont l’efficacité reste controversée en raison de résultats contradictoires. Identifier les variables cachées expliquant ces contradictions est un enjeu majeur. En particulier, le cadre d’application du neurofeedback implique des facteurs psycho-sociaux qui restent à ce jour peu documentés. En c...
Poster
Full-text available
We present our preliminary developments on a biofeedback interface for Western operatic style training, combining performance and result biofeedback. Electromyographic performance feedbacks, as well as formant-tuning result feedbacks are displayed visually, using continuously scrolling displays, or discrete post-trial evaluations. Our final aim is...
Poster
Full-text available
Significant progress was made in devices and software for recording and analyzing bio-physiological signals (EEG, MEG, EMG, …). This poster presents a description of our new open-source Matlab-based toolbox, designed in order to help with EEG data processing. Named SIGMAbox for “SIGnal processing and MAchine Learning”. SIGMAbox gathers several pre-...
Conference Paper
Full-text available
During the past few years, significant progress was made in devices and softwarefor recording and analyzing bio-physiological signals. This short paper presents a generaldescription of our current project: a new open-source Matlab-based toolbox, designed in orderto help with biosignal data processing. SIGMAbox (SIGnal processing and MAchine Learnin...
Poster
Full-text available
Understanding the neurocognitive mechanisms involved in feedback-based learning is a central question for bio/neurofeedback paradigms. We propose incorporating electrophysiological measurements of brain activity into a standard biofeedback approach of control of vocal performance, in order to investigate mechanisms of feedback-based learning. The i...
Thesis
Le travail présenté dans cette thèse porte principalement sur le développement de méthodes permettant d'extraire des descripteurs pertinents des images acquises des articulateurs dans les chants rares : les polyphonies traditionnelles Corses, Sardes, la musique Byzantine, ainsi que le Human Beat Box. Nous avons collecté des données, et employons de...
Article
We believe that the missing keystone to design effective and efficient biofeedback and neurofeedback protocols is a comprehensive model of the mechanisms of feedback learning. In this manuscript we review the learning models in behavioral, developmental and cognitive psychology, and derive a synthetic model of the psychological perspective on biofe...
Article
Full-text available
This article describes the development of a platform designed to visualize the 3D motion of the tongue using ultrasound image sequences. An overview of the system design is given and promising results are presented. Compared to the analysis of motion in 2D image sequences, such a system can provide additional visual information and a quantitative d...
Article
A new contour-tracking algorithm is presented for ultrasound tongue image sequences, which can follow the motion of tongue contours over long durations with good robustness. To cope with missing segments caused by noise, or by the tongue midsagittal surface being parallel to the direction of ultrasound wave propagation, active contours with a conto...
Conference Paper
Full-text available
Studying tongue motion during speech using ultrasound is a standard procedure, but automatic ultrasound image labelling remains a challenge, as standard tongue shape extraction methods typically require human intervention. This article presents a method based on deep neural networks to automatically extract tongue contour from ultrasound images on...
Article
This paper deals with new capturing technologies to safeguard and transmit endangered intangible cultural heritage including Corsican multipart singing technique. The described work, part of the European FP7 i-Treasures project, aims at increasing our knowledge on rare singing techniques. This paper includes (i) a presentation of our light hyper-he...
Poster
Full-text available
Deep learning on EEG for early Alzheimer's disease diagnosis
Article
Full-text available
This paper deals with new capturing technologies to safeguard and transmit endangered intangible cultural heritage including Corsican multipart singing technique. The described work, part of the European FP7 i-Treasures project, aims at increasing our knowledge on rare singing techniques. This paper includes (i) a presentation of our light hyper-he...
Conference Paper
Full-text available
This paper presents an early version of an open extendable research and educational platform to support users in learning and mastering the different types of rare-singing. The platform is interfaced with a portable helmet to synchronously capture multiple signals during singing in a non-laboratory environment. Collected signals reflect articulator...
Article
The article proposes a real-time technique for visualizing tongue motion driven by ultrasound image sequences. Local feature description is used to follow characteristic speckle patterns in a set of mid-sagittal contour points in an ultrasound image sequence, which are then used as markers for describing movements of the tongue. A 3D tongue model i...
Conference Paper
Full-text available
Résumé long de la communication visible au lien suivant: http://www.qmu.ac.uk/casl/conf/ultrafest%5F2013/docs/AJaumard-Hakoun_1_Ultrafest.pdf

Projects

Projects (2)