City4Age: Smart cities for health prevention

Puppa, Paolo; Blas, Nicoletta Di; Copelli, Sergio; Mercalli, Franco

doi:10.1109/isc2.2016.7580804

Cited by 18 publications

(10 citation statements)

References 3 publications

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“…The results show that some studies address more than one smart sector [104,120,124,126,133,145] or aim to diversify their future research [39,51,[63][64][65]100,102,111,131,134]. For example, reference [145] explores smart support for independent living of the elderly within the community to maximise their independence whilst maintaining the ability to deal with their complex medical needs across The scientific community focused the research on smart infrastructure, followed by smart mobility and smart security sectors whilst smart healthcare and smart citizen were addressed only by a small number of studies, see Figure 12. Some of the studies address more than one themes, which is taken into consideration.…”

Section: Analysis Of Primary Studies Cross-sector Proposals or Applications To Improve Digital Forensicsmentioning

confidence: 93%

“…Some of the studies address more than one themes, which is taken into consideration. This trend could be explained by the influences of key events such as Industry 4.0 and the maturity of the research of the design principles and enabling technologies in these areas [1] whereas the lack of research within the smart healthcare and smart citizen sector could be impacted by regulatory restrictions, ethical challenges, lack of relevant usable datasets and the current health care models or pathways [145].…”

Section: Analysis Of Primary Studies Cross-sector Proposals or Applications To Improve Digital Forensicsmentioning

confidence: 99%

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Cyber Resilience and Incident Response in Smart Cities: A Systematic Literature Review

et al. 2020

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The world is experiencing a rapid growth of smart cities accelerated by Industry 4.0, including the Internet of Things (IoT), and enhanced by the application of emerging innovative technologies which in turn create highly fragile and complex cyber–physical–natural ecosystems. This paper systematically identifies peer-reviewed literature and explicitly investigates empirical primary studies that address cyber resilience and digital forensic incident response (DFIR) aspects of cyber–physical systems (CPSs) in smart cities. Our findings show that CPSs addressing cyber resilience and support for modern DFIR are a recent paradigm. Most of the primary studies are focused on a subset of the incident response process, the “detection and analysis” phase whilst attempts to address other parts of the DFIR process remain limited. Further analysis shows that research focused on smart healthcare and smart citizen were addressed only by a small number of primary studies. Additionally, our findings identify a lack of available real CPS-generated datasets limiting the experiments to mostly testbed type environments or in some cases authors relied on simulation software. Therefore, contributing this systematic literature review (SLR), we used a search protocol providing an evidence-based summary of the key themes and main focus domains investigating cyber resilience and DFIR addressed by CPS frameworks and systems. This SLR also provides scientific evidence of the gaps in the literature for possible future directions for research within the CPS cybersecurity realm. In total, 600 papers were surveyed from which 52 primary studies were included and analysed.

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Section: Analysis Of Primary Studies Cross-sector Proposals or Applications To Improve Digital Forensicsmentioning

confidence: 93%

Section: Analysis Of Primary Studies Cross-sector Proposals or Applications To Improve Digital Forensicsmentioning

confidence: 99%

Cyber Resilience and Incident Response in Smart Cities: A Systematic Literature Review

et al. 2020

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“…[33,34] is a European research and innovation project, funded by the European Commission, which aims to enable ambient assisted (or age-friendly) cities, through a range of ICT tools and services that supports Active and Healthy Ageing and allows early detectionof risks related to cognitive Wireless Communications and Mobile Computing 3 deterioration or frailty of senior citizens. Smart Cities are able to detect a wide range of data about individuals' behaviours, coming from different sensors as well as open data, letting us to identify population at risk, monitor daily life activities of identified users in a smart environment, and provide personalized interventions.…”

Section: Smart Cities and Iot Solutionsmentioning

confidence: 99%

Definition of Technological Solutions Based on the Internet of Things and Smart Cities Paradigms for Active and Healthy Ageing through Cocreation

Gil

Pérez

Fico

et al. 2018

Wireless Communications and Mobile Computing

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Existing initiatives to improve physical, mental, and social condition of senior citizens, which in Europe fall under the name of Active and Healthy Ageing, are including technological paradigms as main driver for innovation uptake. Among these paradigms, Smart Cities and the Internet of Things are of utmost importance. However, these initiatives may benefit from unified visions, efforts, and frameworks when it comes to defining technological solutions that take the most of both paradigms. We have defined an iterative approach, which combines user centred design techniques, technological development approaches, and a multifaceted adaptation process, to define a solution for Active and Healthy Ageing that makes use of the two paradigms. The solution is being defined in the context of two research and innovation projects, City4Age and ACTIVAGE, during which a solution is going to be defined and evaluated in the city of Madrid. Results show how Smart Cities and Internet of Things contribute to the solution, from a user (user needs and use cases) and a service delivery (technologies, architecture, and suppliers) perspective. In conclusion, we find the cocreation framework extremely useful for the Active and Health Ageing domain, and the proposed implementation of it is functioning, although there is room for improvement.

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“…In this paper, we describe an experience in rapid design and prototyping of a mobile-based IoT solution through the use of the WoX platform. The case study deals with an Ambient Assisted Living (AAL) system prototype created in the context of the City4Age European project [4] [5], aiming at monitoring elderly people behaviors. Such a solution can be seen as the starting point for an unobtrusive data collection technique that can be processed through artificial intelligence algorithms, and that may be helpful to detect potentially critical situations (frailty, MCI).…”

Section: Introductionmentioning

confidence: 99%

Top-Down Delivery of IoT-based Applications for Seniors Behavior Change Capturing Exploiting a Model-Driven Approach

Fiore¹,

Caione

Mainetti³

et al. 2018

JCOMSS

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Developing Internet of Things (IoT) requires expertise and considerable skills in different fields in order to cover all the involved heterogeneous technologies, communication formats and protocols. Developers and experts ask for new solutions that speed up the prototyping of IoT applications. One of these solutions is Web of Topics (WoX) middleware, a modeldriven Cloud platform that aims to ease IoT applications developing, introducing a strong semantic abstraction of the IoT concepts. In WoX, almost all the IoT entities and concepts are limited to the concept of Topic, i.e. an entity containing the value of a feature of interest that we intend to detect. The local counterpart of WoX is L-WoX (Local-Web of Topics), which manages local instances of features of interest, allowing mobile applications to collaborate among them, offering and receiving data to/from smart objects, and enabling the communication with WoX Cloud platform. The presented study leverages WoX approach for showing an experience in rapid design and prototyping of an ambient assisted living system that detects the movements of elderly persons in their home, acquiring data through sensors in an unobtrusive way. Moreover, the paper shows that the chosen model-driven solution is very suitable in a top-down approach, starting from users requirements: the created system simplifies the user-centered design of IoT applications, adopting a full top-down approach from user required to the technological solution.

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City4Age: Smart cities for health prevention

Cited by 18 publications

References 3 publications

Cyber Resilience and Incident Response in Smart Cities: A Systematic Literature Review

Cyber Resilience and Incident Response in Smart Cities: A Systematic Literature Review

Definition of Technological Solutions Based on the Internet of Things and Smart Cities Paradigms for Active and Healthy Ageing through Cocreation

Top-Down Delivery of IoT-based Applications for Seniors Behavior Change Capturing Exploiting a Model-Driven Approach

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