DocumentCode :
1709297
Title :
Monitoring and measuring sedentary behaviour with the aid of human digital memories
Author :
Dobbins, Chelsea ; Fergus, Paul ; Merabti, Madjid ; Llewellyn-Jones, David
Author_Institution :
Sch. of Comput. & Math. Sci., Liverpool John Moores Univ., Liverpool, UK
fYear :
2012
Firstpage :
395
Lastpage :
398
Abstract :
There is growing global concern over the growing levels of obesity and the fact that people in general are not as active as they once were. Many believe that this is directly related to poor diet and our increasing reliance on technology, such as television, social networking, computer games, and voice activated home control systems. These kinds of activities increase sedentary behaviour across all age groups and is considered one of the main contributors to obesity and poor health. For this reason decreasing sedentary behaviour is considered a crucial theme within many research programs in health. Ironically, there is general agreement that the use of technology is likely to help researchers understand this type of behaviour. One interesting approach is based upon the use of human digital memories to provide visual lifelogs of a user´s activity and to identify the behaviour patterns of individuals. In this way visual lifelogs provide a way for user´s to evaluate their lifestyle choices. This paper discusses some of the key technologies used to achieve this and considers some of the challenges that still need to be addressed.
Keywords :
behavioural sciences computing; body sensor networks; computerised monitoring; digital storage; health care; SenseCam; SenseWear Armband; computer games; human digital memories; lifestyle choices evaluation; obesity; poor diet; poor health; sedentary behaviour measurement; sedentary behaviour monitoring; social networking; technology reliance; television; visual lifelogs; voice activated home control systems; Accelerometers; Biomedical imaging; Cognition; Humans; Legged locomotion; Monitoring; Visualization; Digital Memory; Lifelogging; Sedentary Behaviour; Sensor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Communications and Networking Conference (CCNC), 2012 IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4577-2070-3
Type :
conf
DOI :
10.1109/CCNC.2012.6181016
Filename :
6181016
Link To Document :
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