Data driven multi-agent m-health system to characterize the daily activities of elderly people
作者： Solange Mendes , Jonas Queiroz , Paulo Leitao
DOI: 10.23919/CISTI.2017.7975725
关键词:
摘要: With the continuous growing of aging population, society is facing new challenges, namely implementation healthcare services for older people, as well promotion active and well-being. These challenges imply optimization these through biomedical, physical, psychological socio-environmental interventions. ICT technologies can support services, e.g., use wearable devices to collect physiological data, cloud technology store big amounts data advanced analytics algorithms extract valuable conclusions actionable knowledge. This work proposes a multi-agent system driven analysis approach characterize daily conditions group elderly people institutionalized in nursing home, supporting professionals monitor their behavior promote an aging. The individual' were collected by set Fitbit Charge HR wristbands analyzed clustering algorithms, running distributed autonomous agents, allowing identify individuals' habits conditions.
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