Development of an open technology sensor suite for assisted living: a student-led research project

Manton, James D.; Hughes, Josie; Bonner, Oliver; Amjad, Omar A.; Mair, Philip; Miele, Isabella; Wang, Tiesheng; Levdik, Vitaly; Hall, Richard; Baekelandt, Géraldine; Vasconcellos, Fernando da Cruz; Hadeler, O.; Hutter, Tanya; Kaminski, Clemens F.

doi:10.1098/rsfs.2016.0018

Cited by 3 publications

(3 citation statements)

References 13 publications

(12 reference statements)

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“…Chacin, Oozu, & Iwata, 2016). Open technology referred to the development of accessible, technologically advanced outcomes (Manton et al, 2016), and one source examined the transdisciplinary involvement of social sciences in the development and adoption of sustainable, appropriate technologies (Nascimento & Pólvora, 2015). Open design platform referred to a set of predefined standards, parts, assembly details, or software that enable replication and modification of solutions in the context of the platform (Betthauser et al, 2014).…”

Section: Contribution Sourcementioning

confidence: 99%

Framing Open Design through Theoretical Concepts and Practical Applications: A Systematic Literature Review

Bakırlıoğlu

Kohtala

2019

Human–Computer Interaction

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This study reports on the results of a systematic literature review on 'open design' in academic fields including and beyond design and HCI. The review investigates how studies are framed as open design and open-source design (including 'open hardware'): how researchers contribute to conceptual theorizing about open design or study its practical operationalization, in do-ityourself 'making,' manufacturing and practices in-between these domains. Most of the papers reviewed were empirical studies from diverse fields. Open design was analyzed not only as contributions and solutions, but also as open-to-participate processes, openly shared processes, and open, closed, and modular (open and closed) outcomes. Various research fields presented an open design framing as an alternative to the status quo: new ways to do business and/or to foster socio-environmental sustainability. On the manufacturing side, open design was sought especially to accelerate innovation cycles; on the making side, it was espoused to foster democratization. However, the studies reviewed indicated that companies do not appear to develop much beyond business-as-usual. From the research perspective, the conceptual potential of open design to promote sustainability saw little practical exploration. Additionally, issues around open design community governance Yekta Bakırlıoğlu

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Section: Contribution Sourcementioning

confidence: 99%

Framing Open Design through Theoretical Concepts and Practical Applications: A Systematic Literature Review

Bakırlıoğlu

Kohtala

2019

Human–Computer Interaction

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“…One method that has been used to monitor and assist elderly individuals both in terms of measuring fall risk and many other features of daily life (Philips et al, 2016, Rantz et al, 2013, Alwan, 2009, Manton et al, 2016, Rantz et al, 2014, Villacorta, Jimenez, Val, & Izquierdo, 2011 is the "smart home" concept. A number of ambient sensors such as cameras, motion/depth detectors, pressure mats, microphones, and latch sensors keep track of daily activity, gait parameters, medication, food, and water intake, and the like to ensure that individuals remain healthy and active.…”

Section: Introductionmentioning

confidence: 99%

Predicting Fall Risk Through Automatic Wearable Monitoring

Olson

Lockhart

2021

IJPHM

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Falls represent a major burden on elderly individuals and society as a whole. Technologies that are able to detect individuals at risk of fall before occurrence could help reduce this burden by targeting those individuals for rehabilitation to reduce risk of falls. Wearable technologies especially, which can continuously monitor aspects of gait, balance, vital signs, and other aspects of health known to be related to falls, may be useful and are in need of study. A systematic review was conducted in accordance with the Preferred Reporting Items for Systematics Reviews and Meta-Analysis (PRISMA) 2009 guidelines to identify articles related to the use of wearable sensors to predict fall risk. Fifty four studies were analyzed. The majority of studies (98.0%) utilized inertial measurement units (IMUs) located at the lower back (58.0%), sternum (28.0%), and shins (28.0%). Most assessments were conducted in a structured setting (67.3%) instead of with free-living data. Fall risk was calculated based on retrospective falls history (48.9%), prospective falls reporting (36.2%), or clinical scales (19.1%). Measures of the duration spent walking and standing during free-living monitoring, linear measures such as gait speed and step length, and nonlinear measures such as entropy correlate with fall risk, and machine learning methods can distinguish between falls. However, because many studies generating machine learning models did not list the exact factors being considered, it is difficult to compare these models directly. Few studies to date have utilized results to give feedback about fall risk to the patient or to supply treatment or lifestyle suggestions to prevent fall, though these are considered important by end users. Wearable technology demonstrates considerable promise in detecting subtle changes in biomarkers of gait and balance related to an increase in fall risk. However, more large-scale studies measuring increasing fall risk before first fall are needed, and exact biomarkers and machine learning methods used need to be shared to compare results and pursue the most promising fall risk measurements. There is a great need for devices measuring fall risk also to supply patients with information about their fall risk and strategies and treatments for prevention.

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“…How can we harness this revolution and empower the next generation of leaders in sensor innovation? The final article in the issue describes the development of a sensor unit that monitors living patterns of older people in their own homes [7]. Using open source technologies, a cohort of 10 Masters students, who participate in the EPSRC Centre for Doctoral Training in Sensor Technologies and Applications (http:// cdt.sensors.cam.ac.uk) at the University of Cambridge, developed a highly sophisticated sensor suite to assist older people to live a better and longer independent life in their own homes.…”

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confidence: 99%