20,456 research outputs found
Tracking Human Behavioural Consistency by Analysing Periodicity of Household Water Consumption
People are living longer than ever due to advances in healthcare, and this
has prompted many healthcare providers to look towards remote patient care as a
means to meet the needs of the future. It is now a priority to enable people to
reside in their own homes rather than in overburdened facilities whenever
possible. The increasing maturity of IoT technologies and the falling costs of
connected sensors has made the deployment of remote healthcare at scale an
increasingly attractive prospect. In this work we demonstrate that we can
measure the consistency and regularity of the behaviour of a household using
sensor readings generated from interaction with the home environment. We show
that we can track changes in this behaviour regularity longitudinally and
detect changes that may be related to significant life events or trends that
may be medically significant. We achieve this using periodicity analysis on
water usage readings sampled from the main household water meter every 15
minutes for over 8 months. We utilise an IoT Application Enablement Platform in
conjunction with low cost LoRa-enabled sensors and a Low Power Wide Area
Network in order to validate a data collection methodology that could be
deployed at large scale in future. We envision the statistical methods
described here being applied to data streams from the homes of elderly and
at-risk groups, both as a means of early illness detection and for monitoring
the well-being of those with known illnesses.Comment: 2019 2nd International Conference on Sensors, Signal and Image
Processin
Mechatronics & the cloud
Conventionally, the engineering design process has assumed that the design team is able to exercise control over all elements of the design, either directly or indirectly in the case of sub-systems through their specifications. The introduction of Cyber-Physical Systems (CPS) and the Internet of Things (IoT) means that a design team’s ability to have control over all elements of a system is no longer the case, particularly as the actual system configuration may well be being dynamically reconfigured in real-time according to user (and vendor) context and need. Additionally, the integration of the Internet of Things with elements of Big Data means that information becomes a commodity to be autonomously traded by and between systems, again according to context and need, all of which has implications for the privacy of system users. The paper therefore considers the relationship between mechatronics and cloud-basedtechnologies in relation to issues such as the distribution of functionality and user privacy
Towards Evidence Based M-Health Application Design in Cancer Patient Healthy Lifestyle Interventions
Cancer is one of the most prevalent diseases in
Europe and the world. Significant correlations between dietary
habits and cancer incidence and mortality have been
confirmed by the literature. Physical activity habits are also
directly implicated in the incidence of cancer. Lifestyle
behaviour change may be benefited by using mobile technology
to deliver health behaviour interventions. M-Health offers a
promising cost-efficient approach to deliver en-masse
interventions. Smartphone apps with constructs such as
gamification and personalized have shown potential for
helping individuals lose weight and maintain healthy lifestyle
habits. However, evidence-based content and theory-based
strategies have not been incorporated by those apps
systematically yet. The aim of the current work is to put the
foundations for a methodologically rigorous exploration of
wellness/health intervention literature/app landscape towards
detailed design specifications for connected health m-apps. In
this context, both the overall work plan is described as well as
the details for the significant steps of application space and
literature space review. Both strategies for research and initial
outcomes of it are presented. The expected evidence based
design process for patient centered health and wellness
interventions is going to be the primary input in the
implementation process of upcoming patient centered
health/wellness m-health interventions.ENJECT COST-STSM-ECOST-STSM-TD1405-220216-07045
Self-Control in Cyberspace: Applying Dual Systems Theory to a Review of Digital Self-Control Tools
Many people struggle to control their use of digital devices. However, our
understanding of the design mechanisms that support user self-control remains
limited. In this paper, we make two contributions to HCI research in this
space: first, we analyse 367 apps and browser extensions from the Google Play,
Chrome Web, and Apple App stores to identify common core design features and
intervention strategies afforded by current tools for digital self-control.
Second, we adapt and apply an integrative dual systems model of self-regulation
as a framework for organising and evaluating the design features found. Our
analysis aims to help the design of better tools in two ways: (i) by
identifying how, through a well-established model of self-regulation, current
tools overlap and differ in how they support self-control; and (ii) by using
the model to reveal underexplored cognitive mechanisms that could aid the
design of new tools.Comment: 11.5 pages (excl. references), 6 figures, 1 tabl
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