2013 IEEE Symposium on Computational Intelligence in Healthcare and E-Health (CICARE) 2013
DOI: 10.1109/cicare.2013.6583073
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Activity pattern mining using temporal relationships in a smart home

Abstract: Allowing elders and people with cognitive dysfunction such as Alzheimers disease to stay in their home longer is rapidly becoming a priority for the health care system. The use of smart homes is a very promising solution because it can automatically offer real-time assistance to complete daily activities. Data mining techniques have been used to identify smart home occupant's daily routines, but most of the time, only the sequence of the events is analyzed. We propose a new algorithm to discover frequent activ… Show more

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Cited by 8 publications
(5 citation statements)
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“…There are many potential future scopes for cattle health monitoring system, including [35][36][37][38][39].…”
Section: Discussion and Future Scopementioning
confidence: 99%
“…There are many potential future scopes for cattle health monitoring system, including [35][36][37][38][39].…”
Section: Discussion and Future Scopementioning
confidence: 99%
“…Here, fulfilling the daily activities is the highest priority for the patients. In this regard, gathering data from various sensors and applying data mining techniques on it enables the detection of the events at home (Moutacalli et al, 2013;Jovanov et al, 2003). A similar study on this topic is presented in (Son et al, 2013).…”
Section: Introductionmentioning
confidence: 94%
“…Some studies conducted huge data analysis on sensing techniques that can improve the efficiency of healthcare services [127,128]. Meanwhile, 'activity pattern mining' was analysed in [129].…”
Section: Server Based (Tier 3)mentioning
confidence: 99%