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Get Free AccessThis paper presents mPASS (mobile Pervasive Accessibility Social Sensing), a system designed to collect data about urban and architectural accessibility and to provide users with personalized paths, computed on the basis of their preferences and needs. The system combines data obtained by sensing, crowdsourcing and mashing-up with main geo-referenced social systems, with the aim of offering services based on a detailed and valid data set.
Catia Prandi, Paola Salomoni, Silvia Mirri (2014). mPASS: Integrating people sensing and crowdsourcing to map urban accessibility. , DOI: 10.1109/ccnc.2014.6940491.
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Type
Article
Year
2014
Authors
3
Datasets
0
Total Files
0
Language
English
DOI
10.1109/ccnc.2014.6940491
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