In this paper we present the TARSIUS system, based on mobile technology and aimed at enhancing visually-impaired and blind people's capabilities in visual scene understanding and geolocation while are outdoor. The system components are the TARSIUS app for mobile devices, a web server, and the Remote Assistance Center. Its interface is optimized for the perceptual characteristics of its users. Moreover, the TARSIUS navigation sub-system not only leverages the GPS system, but also Bluetooth LE/iBeacon tags placed along the streets at points of interest and dangerous paths and areas.

An assistive mobile system supporting blind and visual impaired people when are outdoor / T. Valls MataÅ o, F. Masulli, S. Rovetta, A. Cabri, C. Traverso, E. Capris, S. Torretta - In: 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI)[s.l] : IEEE, 2017. - ISBN 9781538639061. - pp. 1-6 (( Intervento presentato al 3. convegno IEEE International Forum on Research and Technologies for Society and Industry, RTSI tenutosi a Modena nel 2017 [10.1109/RTSI.2017.8065886].

An assistive mobile system supporting blind and visual impaired people when are outdoor

A. Cabri;
2017

Abstract

In this paper we present the TARSIUS system, based on mobile technology and aimed at enhancing visually-impaired and blind people's capabilities in visual scene understanding and geolocation while are outdoor. The system components are the TARSIUS app for mobile devices, a web server, and the Remote Assistance Center. Its interface is optimized for the perceptual characteristics of its users. Moreover, the TARSIUS navigation sub-system not only leverages the GPS system, but also Bluetooth LE/iBeacon tags placed along the streets at points of interest and dangerous paths and areas.
Computer Networks and Communications; Computer Science Applications1707 Computer Vision and Pattern Recognition; Energy Engineering and Power Technology; Industrial and Manufacturing Engineering; Health (social science); Management of Technology and Innovation; Artificial Intelligence
Settore INF/01 - Informatica
2017
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/955221
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