Bertrand Ravera

Learn More
The CARETAKER 1 project, which is a 30-month project that has just kicked off, aims at studying, developing and assessing multimedia knowledge-based content analysis, knowledge extraction components, and metadata management subsystems in the context of automated situation awareness, diagnosis and decision support. More precisely, CARETAKER will focus on the(More)
Among a population of 200 children, suffering by dizziness that we examined in the ENT department of the G. Gaslini Institute of Genoa, we acquired and checked, through the statistical analysis, the data of an air caloric test (according to the standard stimulation method) performed in 20 children (resulted normal to neurological, ophtalmological and(More)
This paper proposes an unsupervised method for real time detection of abnormal events in the context of audio surveillance. Based on training a One-Class Support Vector Machine (OC-SVM) to model the distribution of the normality (ambience), we propose to construct sets of decision functions. This modification allows controlling the trade-off between(More)
In this demonstration, we will show the different modules related to the automatic surveillance prototype developed in the context of the EU VANAHEIM project. Several components will be demonstrated on real data from the Torino metro. First, different unsupervised activity modeling algorithms that capture recurrent activities from long recordings will be(More)
Even if the speaker recognition field is very dynamic, few studies concern the constraints linked to the use of a speaker recognition system inside a professional telecommunication network. This paper deals with this problem and proposes some adaptation of such system in the focus of a real world network monitoring application. This work is specifically(More)
In this paper, we review the recently finished CARETAKER project outcomes from a system point of view. The IST FP6-027231 CARETAKER project aimed at studying, developing and assessing multimedia knowledge-based content analysis, knowledge extraction components, and metadata management subsystems in the context of automated situation awareness and decision(More)
This paper presents a multi-modal health and activity monitoring framework that enables abnormal event detection and long term evaluation of the health of elderly people at home. We describe its integration with the ESTIA [1] Residential Gateway and detail the demonstration scenario we developed involving different kinds of sensing modules.
The authors compare the nystagmus evoked by the caloric test and by two slow and fast optokinetic 'look' stimulations performed in 78 subjects subdivided into two groups and recorded by ENG: group 1 composed of 22 subjects with 'significative' unilateral hyporeflexia and group 2 composed of 56 subjects with important anomalies at the vestibular caloric(More)
  • 1