2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) 2015
DOI: 10.1109/percomw.2015.7134060
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From lab to life: Fine-grained behavior monitoring in the elderly's home

Abstract: Sensor-based activity monitoring systems promise to prolong independent living of frail elderly people, including those affected by cognitive disorders. Different solutions are already available on the market, which use wireless sensors installed in the home to track the daily living routines of the senior. Those systems provide caregivers with statistics about detected activities; some of them may trigger real-time notifications when they identify a risk situation. Long-term monitoring of finegrained behavior… Show more

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Cited by 27 publications
(13 citation statements)
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“…Another type of categorisation for devices in a smart home has been proposed by (Riboni et al 2015), and is based on the core functionality of these devices, namely, sensing, reasoning, and reporting.…”
Section: Smart Home Devices For People With Dementiamentioning
confidence: 99%
“…Another type of categorisation for devices in a smart home has been proposed by (Riboni et al 2015), and is based on the core functionality of these devices, namely, sensing, reasoning, and reporting.…”
Section: Smart Home Devices For People With Dementiamentioning
confidence: 99%
“…The main issue with this approach is that the monitored subject needs to continuously wear the glove. Moreover, it has been shown that RFID technologies are not reliable for a real deployment [54]. Finally, those methods only detect the generic interaction of the subject with the objects, thus not providing a specific information about the performed manipulation.…”
Section: Monitoring the Interaction With Everyday Objectsmentioning
confidence: 99%
“…We will call her Mary in the following. Details about the technical implementation of the system in Mary's home are reported in [54]. We acquired a dataset consisting of 55 days of ADLs performed by Mary.…”
Section: A Real-home Deploymentmentioning
confidence: 99%
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