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Fine-grained recognition of abnormal behaviors for early detection of mild cognitive impairment
2015 IEEE International Conference on Pervasive Computing and Communications (PerCom)
According to the World Health Organization, the rate of people aged 60 or more is growing faster than any other age group in almost every country, and this trend is not going to change in a near future. Since senior citizens are at high risk of non communicable diseases requiring long-term care, this trend will challenge the sustainability of the entire health system. Pervasive computing can provide innovative methods and tools for early detecting the onset of health issues. In this paper wedoi:10.1109/percom.2015.7146521 dblp:conf/percom/RiboniBCJH15 fatcat:67xqt7caibe3lecsh4bjum6t2y