Mohamed Fezari

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The aim of this paper is to investigate the development of a navigation aid for blind and visually impaired people. It is based on a microcontroller with synthetic speech output. This aid is portable and gives information to the user about urban walking routes to point out what decisions to make. On the other hand, and in order to reduce navigation(More)
An electronic travel aid is a form of assistive technology having the purpose of enhancing mobility for the blind. This paper describes the development of a microcontroller based navigation system for blind pedestrians. It is a portable, self contained portable electronic system that will allow visually impaired individuals to travel through familiar and(More)
Many people with disabilities do not have the dexterity necessary to control a joystick on an electric wheelchair. Moreover, they have difficulty to avoid obstacles. The aim of this work is to implement a multi-modal system to control the movement of an electric wheelchair using small vocabulary word recognition system and a set of sensors to detect and(More)
Users are able to operate a joystick to control the chair, however many more severely handicapped users need some other means of controlling the wheelchair. The aim of this work is to implement an interesting application using small vocabulary word recognition processor and some sensors on a smart system. The adopted model is based on grouping a(More)
This paper describes the construction phase of a corpus of everyday life sounds for a system of separation and classification of audio sources in a habitat; an application of telemonitoring of the elderly or disabled. We first presented the key concepts of the research area, and then we presented works and projects that address detection of distress(More)
—Voice diseases are increasing dramatically, due mainly to unhealthy social habits and voice abuse. In this paper, we investigate the methods of acoustic voice analysis (AVA) with adaptive features to develop a system for voice pathologies detection, where the models correspond to classes of patients who share the same diagnostic. One essential part in this(More)
The aim of this work is to reduce the burden task on the DSP processor by transferring a parallel computation part on a configurable circuits FPGA, in automatic speech recognition module design, signal pre-processing, feature selection and optimization, models construction and finally classification phase are necessary. LMS filter algorithm that contains(More)
The multiprocessor system is composed of pipelining a DSP processor for speech enhancement, a new voice recognition module for isolated word recognition and a microcontroller for transforming the voice order into coded byte to be transmitted to the robots via wireless transmission module. The resulting design is used to control via master-slave protocol a(More)