Visual substitution system for blind people based on SIFT description

Abstract

The progress in fields science, information technology and communication have allowed, since the 1970s, developing new electronic aids for the blind in order to overcome the difficulties that the dog and cane do not respond. Among the systems of electronic substitution, are the sensory substitution systems that capture a low-resolution picture of the visual scene and transforming them into an another sensory modality (tactile or auditory). The recognition and localization of objects can address the need for mobility of the blind by travel assistance, aid to navigation and identify objects. In this paper, we propose a system of visual substitution that restores a central function of the visual system which is the identification of surrounding objects. Indeed, we are interested in evaluating fast and robust algorithms to recognize and locate objects in images. The perspectives of this work is to consider a substitute tool in the recognition of the environment for blind or visual impaired people, relying on a robust system for recognizing objects in a video scene and an auditory system to identify this information.

Object recognition for blind people based on features extraction

“…In fact, mobility aids are intended to describe the environment close to the person with an appreciation of the land or surrounding objects. However, they are essential for fine navigation in unknown places, because the environment is described in a coordinate system relative to the user [9]. In this section, we present some vision substitution modalities [10], [7] and their functionalities.…”

“…In addition, the majority of existing systems are aids of mobility and obstacle detection. However, one of the greatest difficulties blind people is the identification of their environment and its components [9]. Identifying and locating objects are used to satisfy the need for mobility of blind people by travel assistance and aid to navigation.…”

“…For this reason, we were interested in the evaluation of an algorithm for fast and robust computer vision to recognize and locate objects in a video scene. In this paper we aim to describe our method [9] in order to identify the surrounding object for blind people by proposing 978-1-4799-7069-8/14/$31.00 c 2014 IEEE an approach for analyzing video scenes based on feature extraction. In section II, we introduce the related works and the most useful systems of sensory substitution.…”

Facial Gesture Measurement Using Optical Muscle Sensing System

“…Scientific researchers in the field of rehabilitation engineering have attempted to develop various devices for helping patients, the disabled and the elderly [2][3][4] and there has been considerable success in achieving improvements to the quality of life for these people by the application and use of these various devices. However, these devices have usually been based on the physical movement of the body, particularly the head, arms, fingers, legs and feet, and these devices often have use and usefulness to only certain user groups.…”

“…Electrical signals from heart muscle activity; the electrocardiogram (ECG) as well as the electroneurogram (ENG); field potentials from local regions in the brain are all examples of detectable signals from muscles and organs in the body. These bio-signals have been identified and are detectable and are widely used in various control applications such as controlling a motorized wheelchair by EOG signals [8,9], a glove which is a force-audio sensory substitution system for diabetic patients [10], and a visual substitution system for blind people [11,12]. Particularly, Facial Gesture Recognition (FGR) offers a challenges and is certainly of interest.…”