@inproceedings{ed7122a8e666456db56e14e70761bd86,
title = "Development of smart inner city recreational facilities to encourage active living",
abstract = "Lowfield Park in Sheffield, UK is a green recreational space maintained by the City Council. Lowfield Park was selected as the primary Sheffield FieldLab for the ProFit project which ended in 2015. The ProFit project was European Interreg IVbNWE funded with the aim of encouraging physical activity through innovations in products, services and ICT systems. In 2014 the Sheffield Hallam University City Athletics Stadium (SHUCAS) was introduced as a secondary FieldLab. A number of innovative systems have been installed into the FieldLabs, these include: Pan Tilt Zoom cameras, automatically timed sprint and running tracks, outdoor displays/touchscreen and a gait analyser. This paper describes the hardware, software and cloud infrastructure created to enable these systems. Pilot testing has been carried out over the last year and has found a positive effect on both sites. The systems created will be taken forward to Sheffield{\textquoteright}s Olympic Legacy Park, which is currently under development.",
keywords = "Participant tracking, ProFit FieldLab, RFID running lap, SHUCAS, Smart Park, Smart public monitoring",
author = "Leon Foster and Ben Heller and Alan Williams and Marcus Dunn and David Curtis and Simon Goodwill",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.",
year = "2016",
month = nov,
day = "3",
doi = "10.1007/978-3-319-48799-1_50",
language = "English",
isbn = "9783319487984",
series = "Lecture Notes in Computer Science ",
publisher = "Springer",
pages = "458--468",
editor = "Garc{\'i}a, {Carmelo R.} and Alexis Quesada-Arencibia and Mike Burmester and Pino Caballero-Gil",
booktitle = "Ubiquitous Computing and Ambient Intelligence",
}