Trabalho em anais de evento

A Guidance System for Blind and Visually Impaired People via Hybrid Data Fusion

SIMOES, WALTER C. S. S.; SILVA, LUCIANO M. DA; SILVA, VANDERMI J. DA; DE LUCENA, VICENTE F

2018 • 2018 IEEE Symposium on Computers and Communications (ISCC) • 12 citações

Resumo

This paper presents an indoor navigation system built in a wearable device. The system allows visually impaired users to perform guided audio navigation safe, fast and has a low computational complexity. The methodological approach chosen divides the process into two phases: offline and online. In offline phase, the indoor mapping is done by data fusing of radio frequency and visual markers, constructing a unique and consistent representation. In the online phase navigation and recognition of each of the internal positions are performed through the fusion representation or only by the wi-fi or visual signals when one of the sensors is strongly affected by noises or other interferences. The results showed that the recognition levels of wi-fi, visual and fusion markers were 87.59%, 90.92%, and 92.03%, respectively. The error margin after the data fusion application was 0.8 m, with an average time of 0.62 ms.

Autoria

Autores do grupo (1)

A lista completa de autores está no topo da página. Abaixo, apenas os pesquisadores do e-Controls vinculados a esta publicação.

Vicente Ferreira de Lucena Junior

Pesquisador

palavras-chave

Palavras-chave

indoor navigationvisually impaired peopleblind assistancewearable devicesauditory guidancehybrid data fusionradio frequency positioningvisual markersindoor mappingposition recognitionsensor fusion

Status

Published

links