This work discusses the ICT solutions designed and developed within the OR.C.HE.S.T.R.A. project. The mission of such an industrial and experimental project (ORganization of Cultural HEritage and Smart Tourism and Real-time Accessibility) consists in developing some technological solutions for tourists and inhabitants aimed at appraising the cultural heritage of the historic center of Naples. The project is based on a Social Innovation approach where services are created engaging all the possible actors in an ecosystem oriented to Smart Culture and tourism (companies, research groups and final users). Thus, in this work some innovative solutions in the cultural heritage domain are promoted and described in order to improve at the same time both the cultural knowledge to offer to different kinds of users (for instance tourists, citizens and researchers) and its learning and its preservation and protection as well. More in detail, we describe how our developed system is able to assist users before visiting the city, by suggesting them the most interesting places to see according to their preferences, and during the visit as well, in order to make the trip more interactive and enjoyable.
The Pupillary Light Reflex (PLR) is an involuntary reflex that changes the size of the pupil in response to varying light conditions. PLR analysis is widely employed in the evaluation of several neurological and ocular conditions and quantitative pupillometry requires the use of expensive ophthalmic instruments. In this paper, we describe an empirical evaluation we performed on the use of a commercially available smartphone (Apple iPhone 6s) to make quantitative measurements of PLR. Measurements were made with 30 healthy volunteers, equally distributed on three age ranges, including also different eye colors. Additionally, we also performed an assessment of the risks inducted by the use of the flash very close to the eye, showing that, if correctly used, it is by far below the constraints of international safety standard
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.