Gilbert Maître

• PhD
• HES-SO Valais-Wallis

We here present a deep-learning approach for computing depth of anesthesia (DoA) for pigs undergoing general anesthesia with propofol, integrated into a novel general anesthesia specialized MatLab-based graphical user interface (GAM-GUI) toolbox. This toolbox permits the collection of EEG signals from a BIOPAC MP160 device in real-time. They are an...

Introduction: In the medical and veterinary fields, understanding the significance of physiological signals for assessing patient state, diagnosis, and treatment outcomes is paramount. There are, in the domain of machine learning (ML), very many methods capable of performing automatic feature selection. We here explore how such methods can be appli...

The electroencephalogram (EEG) signal processing is often used to predict the Depth of Anaesthesia (DoA), for example, by means of Bispec- tral Index (BIS) and the Patient State Index (PSI). However, it has been shown that the algorithms that compute these DoA indices are not substance specific and since they are proprietary it is impossible to imp...

Significance: The development of a technique allowing for non-invasive measurement of retinal blood flow (RBF) in humans is needed to understand many retinal vascular diseases (pathophysi-ology) and evaluate treatment with potential improvement of blood flow. Aim: We developed and validated an absolute laser Doppler velocimeter (LDV) based on an ad...

Significance: The development of a technique allowing for non-invasive measurement of retinal blood flow (RBF) in humans is needed to understand many retinal vascular diseases (pathophysiology) and evaluate treatment with potential improvement of blood flow. Aim: We developed and validated an absolute laser Doppler velocimeter (LDV) based on an...

Demand Response (DR) systems exist since decades in most industrialised countries. It started with phone calls to big industrial plants to reduce their consumption in time of need. Gradually, other solutions were installed by distributors to control the electricity consumption in their grid. Two well-known systems are the two-tariff system and ripp...

Recently, much research in demand response has been devoted to the global control of a population of local thermostatically controlled loads (TCLs), especially by modifying the temperature setpoints of programmable communicating thermostats (PCTs). It is now well known that shifting simultaneously and instantaneously the thermostat temperature setp...

Un recours massif aux énergies renouvelables intermittentes que sont le solaire et l'éolien nécessite la mise en œuvre de moyens de stockage. Dans cet article, une solution de stockage sous forme de chaleur dans les bâtiments résidentiels est envisagée. Son potentiel à l'échelle de la Suisse est évalué à partir des données de l'Office fédéral de la...

Les FPGA ont une puissance de traitement très élevée, car ces dispositifs peuvent effectuer des multiplications et des additions à plus de 100 MHz et des centaines de multiplicateurs et additionneurs peuvent être implémentés en parallèle, Les multiplicateurs peuvent être optimisés individuellement en ajustant pour chaque multiplicateur la largeur d...

This paper presents the European project M2VTS which stands for Multi Modal Verification for Teleservices and Security Applications. The primary goal of this project is to address the issue of secured access to local and centralised services in a multimedia environment. The main objective is to extend the scope of application of network-based servi...

In this paper we describe the acquisition and content of a large multi-modal database intended for training and testing of multi-modal verification systems. The XM2VTSDB database offers synchronised video and speech data as well as image sequences allowing multiple views of the face. It consists of digital video recordings taken of 295 hundred subj...

This paper describes experiments of a text-independent speaker verification method that has been evaluated on two laboratory databases (M2VTS and XM2VTS) and on one field test database (LoCoMic). This work has been performed within the European ACTS-M2VTS project (Multi-Modal Verification for Teleservices and Security Applications) which is concern...

The paper presents the European ACTS project “M2VTS” which stands for Multi Modal Verification for Teleservices and Security Applications. The primary goal of this project is to address the issue of secured access to local and centralised services in a multimedia environment. The main objective is to extend the scope of application of network based...

This document describes a proposal for an evaluation protocol for the extended M2VTS database (XM2VTSDB) including the training of experts and supervisor.

. This paper presents the use of a multi-linear classifier allowing to fuse the results of several modalities in a multi-modal person identity verification context. In the considered verification system, each of the d modalities forms an autonomous bloc that produces a score, which is not only supposed to be monotone but also to have a value betwee...

We present an algorithm functioning as a supervisor module in a multi-expert decision making machine. It uses the Bayes theory in order to estimate the biases of individual expert opinions. The biases are used to calibrate and conciliate expert opinions to a single decision. This supervision technique is applied to the real case of a person authent...

The contribution of this paper is twofold: (1) to formulate a fusion problem encountered in the design of a multi-modal identity verification system as a particular classification problem, (2) to propose a simple classifier to solve this problem. The multi-modal identity verification system under consideration is built of d modalities in parallel,...

This paper presents the use of a multi-linear classifier allowing to fuse the results of several modalities in a multi-modal person identity verification context. In the considered verification system, each of the d modalities forms an autonomous bloc that produces a score, which is not only supposed to be monotone but also to have a value between...

A person authentication technique using two modalities is presented. Results from individual experts, namely face and speech recognisers, are merged by a supervisor. The visual part involves matching of a coarse grid containing Gabor phase information from face images. The acoustic part is performed by a text-dependent speaker verification system b...

Dans le cas d'une écriture liée, la segmentation en caractères de l'image numérique d'un manuscrit, en tant que traitement préliminaire à la reconnaissance du texte, pose problème. Cet article décrit une méthode de sur-segmentation par rapport à la segmentation en caractères dont le but est de fournir, sous la forme d'une suite, un ensemble restrei...

(C) In the proceedings of the "European Conf. on Multimedia Applications, Services and Techniques - ECMAST; Louvain-la-Neuve, 28-30 May, 1996" We propose multi-modal person verification using voice and images as a solution to the secured access problem. The necessary i/o devices are now standard, cheaply available and, most importantly, constitute...

This report describes a system for handprinted character recognition. The goals of this work are to understand better the role of shape, shape representations, and shape similarity in character recognition, and to develop character recognition methods that are more robust to degradations and distortions of character patterns than existing methods....

Cette thèse s'inscrit dans le cadre d'une approche purement géométrique de la vision artificielle tridimensionnelle. Elle s'intéresse au traitement des images de profondeur, collections de positions tridimensionnelles mesurées à la surface d'objets. Plus précisément, son sujet est la segmentation des images de profondeur, c'est-à-dire le partage de...

A classical approach formulates surface reconstruction in terms of a variational problem by using two-dimensional surfaces defined by generalized spline functions. We present such an approach in the case of range image segmentation. The distinction of our approach lies in the way the discontinuities are detected. The spline is constrained to stay w...

This paper is a contribution to the investigation of the behavioural approach in robot vision. It describes the principle and implementation of a behaviour- based vision architecture for autonomous mobile robots. The paper gives some motivations for the behavioural approach and presents the selected vision architecture. The various behaviours selec...

This paper considers the segmentation of range image measurements into surface patches which are either plane or curved and which are described formally by a function. After a formal description of the segmentation, we present and compare three methods suited for plane and curved patch segmentation and show the results of experiments conducted for...

This paper presents principle, implementation and evaluation of a simple three-dimensional (3D) measurement system by structured light, used for computer vision of small parts

When using structured light for the measurement of three dimensional objects, the observed stripes of light must be indexed, that is, the correspondance between projected light stripes and the observed stripes must be established. Basically, time, spatial and color coding can be used to characterize the light stripes. In this study, we use color co...