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Physical inactivity significantly impacts personal health, reduces quality of life, and often leads to mobility disorders, diabetes, and cardiovascular disease. Monitoring daily life activities by means of wearable inertial sensors can provide valuable feedback necessary to improve the quality of daily life and prevent the development of mobility disorders caused by physical inactivity. In this study,...
Being able to understand human behaviour and monitoring daily life activities is seen as a significant approach for alleviating functional decline among elderly people. The aim of the research work presented in this paper is to investigate a mechanism that can recognise high level activities and behaviour of low entropy people in order to help them improve their health related daily life activities...
The profusion of wireless enabled mobile devices in daily life routine and advancement in pervasive computing has opened new horizons to analyse and model the contextual information. This contextual information (for example, proximity data and location information) can be very helpful in analysing the human behaviours. Wireless proximity data can provide important information about the behaviour and...
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