Analyzing Activity Behavior and Movement in a Naturalistic Environment Using Smart Home Techniques

One of the many services that intelligent systems can provide is the ability to analyze the impact of different medical conditions on daily behavior. In this study, we use smart home and wearable sensors to collect data, while (n = 84) older adults perform complex activities of daily living. We anal...

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Vydáno v:	IEEE journal of biomedical and health informatics Ročník 19; číslo 6; s. 1882 - 1892
Hlavní autoři:	Cook, Diane J., Schmitter-Edgecombe, Maureen, Dawadi, Prafulla
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.11.2015 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Adults Aged Female Health Human Activities - classification Humans Impact analysis Machine Learning Male mild cognitive impairment (MCI) Monitoring, Ambulatory - methods Old people Parkinson disease Parkinson disease (PD) Parkinson Disease - physiopathology Parkinson's disease Patient monitoring Pattern recognition Pervasive computing Remote Sensing Technology Smart buildings Smart homes Wearable sensors mild cognitive impairment (MCI) Parkinson disease (PD) pervasive computing Machine learning
ISSN:	2168-2194, 2168-2208
On-line přístup:	Získat plný text
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