A context-aware system for personalized and accessible pedestrian paths

Silvia Mirri, Catia Prandi, Paola Salomoni
2014 2014 International Conference on High Performance Computing & Simulation (HPCS)  
This work presents mPASS (mobile Pervasive Accessibility Social Sensing), a social and ubiquitous context aware system to provide users with personalized and accessible pedestrian paths and maps. In order to collect a complete data set, our system gathers information from different sources: sensing, crowdsourcing and data produced by local authors and disability organizations. Gathered information are tailored to user's needs and preferences on the basis of his/her context, defined by his/her
more » ... cation, his/her profile and quality of data about the personalized path. To support the effectiveness of our approach, we have developed a prototype, which is described in this paper, together with some results of the context-based adaptation. Keywords-social location-based context aware systems; location aware applications in smartphones; user interfaces and usability issues for ubiquitous applications I.
doi:10.1109/hpcsim.2014.6903776 dblp:conf/hpcs/MirriPS14 fatcat:f6y4oz2ogrfddkegnyj2siv4tq