DocumentCode :
3249823
Title :
How personal fitness data can be re-used by smart cities
Author :
Clarke, Andrew ; Steele, Robert
Author_Institution :
Discipline of Health Inf., Univ. of Sydney NSW, Sydney, NSW, Australia
fYear :
2011
fDate :
6-9 Dec. 2011
Firstpage :
395
Lastpage :
400
Abstract :
The growing trend to use mobile devices and applications to collect data relating to fitness activities has resulted in large amounts of sensor data being generated. Further, in some cases the fitness data is shared over social networks. This collected data has potential uses in a number of fields including: public health and population health data, urban planning, fitness trends analysis, social network analysis and personalization of health information. As the motivation for creating this sensor data already exists for the individual in relation to fitness benefits and health monitoring, this type of participatory sensing approach has a lower barrier to entry. However, there is currently no structured approach to collect and re-use this sensor data. This paper describes the distinct types of fitness sensor applications; conceptual architecture for data collection and aggregation and the steps and developments that would improve the quality and usability of data collected. Further, the types of secondary uses for smart cities of this collected data are explored.
Keywords :
medical information systems; mobile computing; mobile handsets; sensor fusion; social networking (online); town and country planning; fitness activities; fitness trends analysis; health information personalization; health monitoring; mobile devices; personal fitness data; smart cities; social network analysis; social networks; urban planning; Data privacy; Mobile communication; Monitoring; Privacy; Sensors; Servers; Social network services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2011 Seventh International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
978-1-4577-0675-2
Type :
conf
DOI :
10.1109/ISSNIP.2011.6146582
Filename :
6146582
Link To Document :
بازگشت