Title :
mPASS: Integrating people sensing and crowdsourcing to map urban accessibility
Author :
Prandi, Catia ; Salomoni, Paola ; Mirri, Silvia
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Bologna Bologna, Bologna, Italy
Abstract :
This 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.
Keywords :
mobile computing; pedestrians; smart phones; architectural accessibility; crowdsourcing; mPASS; main geo-referenced social systems; mobile pervasive accessibility social sensing; pedestrian; urban accessibility; Conferences; Crowdsourcing; Mobile communication; Organizations; Routing; Sensors; Wheelchairs; accessibility; crowdsourcing; mashup; personalized path; sensing;
Conference_Titel :
Consumer Communications and Networking Conference (CCNC), 2014 IEEE 11th
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4799-2356-4
DOI :
10.1109/CCNC.2014.6940491
