Title
Crowdsensing and proximity services for impaired mobility
Abstract
New sensors embedded into modern smartphones has led into a new data collection prospective in which people directly collect all the sensitive data. This feature has found different applications, in particular in the Smart Cities area, in order to establish dynamic communications between the citizens and the city government. This category of application is nestled into the Mobile Crowd Sensing (MCS) application group, due to their final purpose of sharing sensing data to an open platform that includes a huge number of people. This paper presents an extension of the general-purpose ParticipAct platform, a MCS application developed by the University of Bologna, focused on the needs of people with impaired mobility. The goal is specializing ParticipAct to enable a crowdsourcing platform that guarantees a solid support for their lifetime allowing reviewing and sharing opinions regarding public and private places and architectonic barriers of a city area. Showed results confirm the effectiveness of the developed application in terms of both its viability via integration with existing and widely diffused Geographical Information Systems (GIS), and its feasibility in terms of system and user-perceived performances.
Year
DOI
Venue
2016
10.1109/ISCC.2016.7543712
2016 IEEE Symposium on Computers and Communication (ISCC)
Keywords
Field
DocType
Crowdsourcing,Big Data,Mobile App,Map
Information system,Data collection,Geographic information system,Open platform,Computer science,Crowdsourcing,Server,Computer network,Big data,Government
Conference
ISBN
Citations 
PageRank 
978-1-5090-0680-9
3
0.43
References 
Authors
8
6