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A Data Fusion Architecture Proposal for Visually Impaired People
Based on the difficulties that a Visually Impaired Person (VIP) has in understanding certain contexts, this article proposes a new architecture that aims to contextualize elements of that environment and, thus, help the visually disabled person to move around safely. The main objective of this proje...
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Main Authors: | , , , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
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Summary: | Based on the difficulties that a Visually Impaired Person (VIP) has in understanding certain contexts, this article proposes a new architecture that aims to contextualize elements of that environment and, thus, help the visually disabled person to move around safely. The main objective of this project is to extract environmental features and to subsequently perform the processes of perception, comprehension and projection of the Situation Awareness (SAW) model. The proposed architecture is composed of Computer Vision techniques (CV) and Data Fusion (DF). The CV techniques were used in order to obtain the necessary characteristics for the DF to perform the search for consistent relationships for pattern recognition and allow for the projection of possible collisions of the VIP with environmental elements. For the collision projection, the specific characteristics of each context were extracted and trained, thus providing the VIP with inferences made in real time. |
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ISSN: | 2377-5416 |
DOI: | 10.1109/SIBGRAPI.2016.030 |