Automatic system to identify and manage garments for blind people

Abstract

In recent years, there has been increased attention towards the integration of handicapped individuals in society, with significant efforts being made to promote their inclusion. Technology has played a critical role in this effort, with several technological solutions emerging to help handicapped people in their daily routines, enabling them to better integrate into society. However, there are still challenges that remain, particularly in the area of basic tasks for blind people, such as managing and identifying personal garments. This study seeks to provide an improvement in the quality of life and well-being of blind people. A mechatronic automatism that allows the identification of user garments using sensors was developed. An interface developed with the implementation of a server responsible for managing the requests from the user is integrated. Algorithms were implemented for segmentation and classification of garments and for detecting the predominant colors of each garment. By the results obtained it was evidenced that the system could be an efficient solution to reduce the time taken for garment selection, particularly in terms of color differentiation and the selection of combinations for blind people.

Introductory notes for the Acta IMEKO Thematic Issue on Measurement Systems and Instruments based on IoT Technologies for Health

“…Finally, the paper [5] presents a mechatronic automatism based on near-field communication that allows the identification of user garments by sensor data, to improve the quality of life of fragile people, such as blind or disabled ones. With the help of an integrated interface to manage the requests from the user, a proper algorithm classifies the garments depending on their predominant color.…”