2015
DOI: 10.1109/mprv.2015.37
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Living Labs for Pervasive Healthcare Research

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Cited by 15 publications
(9 citation statements)
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“…Numerous wearables have been proposed for the surveillance of people and specifically for fall detection [12, 14, 15] over the last 30 years. These include portable devices such as pedometers [16], accelerometers [17], gyroscopes and panic pushbuttons [18], inertial sensors such as smartphones, magnetic sensors [19] and infrared, vibratory, acoustic [20]. Although these devices give good results [21] on fall identification (98%), most of these wearables solutions suffer from limiting factors [8]: Must be worn (depends on user compliance or thinking about it if you wake up at night to go to the bathroom). Easily broken if they fall, get a shock or if someone sits on it. Need to be recharged (difficult for patients with dementia). Stigmatising for people. Respect for privacy. …”
Section: Sensing Modalities and Machine Learningmentioning
confidence: 99%
“…Numerous wearables have been proposed for the surveillance of people and specifically for fall detection [12, 14, 15] over the last 30 years. These include portable devices such as pedometers [16], accelerometers [17], gyroscopes and panic pushbuttons [18], inertial sensors such as smartphones, magnetic sensors [19] and infrared, vibratory, acoustic [20]. Although these devices give good results [21] on fall identification (98%), most of these wearables solutions suffer from limiting factors [8]: Must be worn (depends on user compliance or thinking about it if you wake up at night to go to the bathroom). Easily broken if they fall, get a shock or if someone sits on it. Need to be recharged (difficult for patients with dementia). Stigmatising for people. Respect for privacy. …”
Section: Sensing Modalities and Machine Learningmentioning
confidence: 99%
“…Within assistive technology, studies have presented how using techniques to engage a range of stakeholders can assist in creating solutions that integrate into people's lives, for example, rehabilitation advancement for people with multiple sclerosis [30], and technological innovation for people living with dementia [31]. Living laboratories that monitor everyday activities of people within real-life scenarios have enabled researchers to evaluate the usability of healthcare technologies and assess health outcomes [32]. Participatory research methods implemented within living laboratories have provided an opportunity for users to share feedback and suggestions for solution improvements [32].…”
Section: Introductionmentioning
confidence: 99%
“…Living laboratories that monitor everyday activities of people within real-life scenarios have enabled researchers to evaluate the usability of healthcare technologies and assess health outcomes [32]. Participatory research methods implemented within living laboratories have provided an opportunity for users to share feedback and suggestions for solution improvements [32]. A consistent factor within these examples is the involvement of patients or users, as collaborators within the research process, and how their involvement informs research outcomes.…”
Section: Introductionmentioning
confidence: 99%
“…Even though LL literature in the healthcare context is increasing, there are still few studies on the subject. Among them, some scholars have attempted to identify a list of factors that can be used to build and manage an LL in healthcare [14,[32][33][34][35][36]. Van Geenhuizen, for example, dedicated particular attention to the challenges related to the management of stakeholders' networks and multi-stakeholder cooperation [35,36], and Callari and colleagues investigated the needs and requirements of the involvement of end-users as participants in LL initiatives [37].…”
Section: Introductionmentioning
confidence: 99%