A Cloud-Based Internet of Things Platform for Ambient Assisted Living (original) (raw)
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An Internet of Things platform architecture for supporting ambient assisted living environments
Technology and Health Care, 2017
Internet of Things (IoT) is the logical further development of today's Internet, enabling a huge amount of devices to communicate, compute, sense and act. IoT sensors placed in Ambient Assisted Living (AAL) environments, enable the context awareness and allow the support of the elderly in their daily routines, ultimately allowing an independent and safe lifestyle. The vast amount of data that are generated and exchanged between the IoT nodes require innovative context modeling approaches that go beyond currently used models. Current paper presents and evaluates an open interoperable platform architecture in order to utilize the technical characteristics of IoT and handle the large amount of generated data, as a solution to the technical requirements of AAL applications.
Concurrency and Computation: Practice and Experience, 2016
Ambient Assisted Living (AAL) main goal is the development of health monitoring systems for patients with chronic diseases and elderly people through the use of body, home and environmental sensors that increase their degree of independence and mobility. A comprehensive software infrastructure for AAL systems should be able to cover scenarios involving several patient mobility levels, locations, and physical and cognitive abilities. Cloud computing can provide to AAL systems the ability to extend the limited processing power of mobile devices, but its main role is to integrate all stakeholders through the storage and processing of health data and the orchestration of healthcare business logic. On the other hand, the Internet of Things (IoT) provides the ability to connect sensors and actuators, integrating and making them available through the Internet. This paper presents the Mobile-Hub/SDDL, a middleware for AAL based on cloud computing and IoT. We discuss how this middleware can handle the requirements of the main health monitoring scenarios and present results that demonstrate the ability to opportunistically discover and connect with sensors in a timely manner and the scalability necessary for handling the connection and data processing of many connected patients.
Service-Oriented Device Integration for Ubiquitous Ambient Assisted Living Environments
2009
As a result of the increment of population in countries of Europe, a lot of efforts from European Authorities are coming from. In our research we want to bring forward a suite of developments related to build a ubiquitous AAL (Ambient Assisted Living) environment. We consider that recent approaches are based on ad-hoc technologies so its application is in this context isolated just in one domain of application. Our approach addresses to a reliable services platform for heterogeneous devices integration. On this basis we want to consider as well, the underlying benefits that a Service-oriented platform is giving to us in our Ambient Assisted Living Applications.
CloudThings: A common architecture for integrating the Internet of Things with Cloud Computing
Proceedings of the 2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2013
Internet of Things presents the user with a novel means of communicating with the Web world through ubiquitous object-enabled networks. Cloud Computing enables a convenient, on demand and scalable network access to a shared pool of configurable computing resources. This paper mainly focuses on a common approach to integrate the Internet of Things (IoT) and Cloud Computing under the name of CloudThings architecture. We review the state of the art for integrating Cloud Computing and the Internet of Things. We examine an IoT-enabled smart home scenario to analyze the IoT application requirements. We also propose the CloudThings architecture, a Cloud-based Internet of Things platform which accommodates CloudThings IaaS, PaaS, and SaaS for accelerating IoT application, development, and management. Moreover, we present our progress in developing the CloudThings architecture, followed by a conclusion.
A generic service oriented software platform to design ambient intelligent systems
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers - UbiComp '15, 2015
Smart devices or smart things are widely deployed within environments and have to work in concert to assist users in many domains. The interoperability between things is achieved by the help of Internet and Web of Things. Despite this progress, a main challenge remains to fully manage the heterogeneity of the smart things: handling their dynamicity at runtime. In this paper, we present a three layers platform to address this challenge. The first layer monitors the appearance and disappearance of smart things in the environment. The second one provides mechanisms to dynamically compose the services provided by smart things. The third layer offers an autonomic context-driven composition mechanism based on a new software paradigm: 'application schemas'. This layer manage the interferences and conflicts that may occur during the autonomic composition process.
Smart Spaces and Smart Objects Interoperability Architecture (S3OiA)
2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, 2012
The presented work aims to contribute towards the standardization and the interoperability off the Future Internet through an open and scalable architecture design. We present S 3 OiA as a syntactic/semantic Service-Oriented Architecture that allows the integration of any type of object or device, not mattering their nature, on the Internet of Things. Moreover, the architecture makes possible the use of underlying heterogeneous resources as a substrate for the automatic composition of complex applications through a semantic Triple Space paradigm. Created applications are dynamic and adaptive since they are able to evolve depending on the context where they are executed. The validation scenario of this architecture encompasses areas which are prone to involve human beings in order to promote personal autonomy, such as home-care automation environments and Ambient Assisted Living.
— In this paper we enhance the innovative architectural model for context-aware monitoring, BDCaM that uses cloud computing platforms. Every generated context of Ambient Assisted Living (AAL) systems is sent to the cloud. A number of distributed servers in the cloud store and process those contexts to extract required information for decision-making using this novel technique. We develop a 2-step learning methodology. In the first step, the system identifies the correlations between context attributes and the threshold values of vital signs. Using Map Reduce Apriori algorithm, over a long term context data of a particular patient, the system generates a set of association rules that are specific to that patient. In t he second step, the system uses supervised learning over a new large set of context data generated using the rules discovered in the first step. In this way, the system becomes more robust to accurately predict any patient situation. We demonstrate the performance and efficiency of BDCaM model in situation classification by implementing a case study. Our system refines patient-specific rules from big data and simplifies the job of healthcare professionals by providing early detection of anomalous situations with good accuracy. The big data producers of BDCaM model are a large number of AAL systems. The low level setup of each system varies according to the requirements of the patient. The sensors, devices and software services of each AAL system produce raw data that contain low level information of a patient's health status location, activities, surrounding ambient conditions, device status, etc. This paper would promote a lot of research in the area of application of IoT in Ambient Assisted Living.
Internet of Ambience: An IoT Based Context Aware Monitoring Strategy for Ambient Assisted Living
— In this paper we enhance the innovative architectural model for context-aware monitoring, BDCaM that uses cloud computing platforms. Every generated context of Ambient Assisted Living (AAL) systems is sent to the cloud. A number of distributed servers in the cloud store and process those contexts to extract required information for decision-making using this novel technique. We develop a 2-step learning methodology. In the first step, the system identifies the correlations between context attributes and the threshold values of vital signs. Using Map Reduce Apriori algorithm, over a long term context data of a particular patient, the system generates a set of association rules that are specific to that patient. In t he second step, the system uses supervised learning over a new large set of context data generated using the rules discovered in the first step. In this way, the system becomes more robust to accurately predict any patient situation. We demonstrate the performance and efficiency of BDCaM model in situation classification by implementing a case study. Our system refines patient-specific rules from big data and simplifies the job of healthcare professionals by providing early detection of anomalous situations with good accuracy. The big data producers of BDCaM model are a large number of AAL systems. The low level setup of each system varies according to the requirements of the patient. The sensors, devices and software services of each AAL system produce raw data that contain low level information of a patient's health status location, activities, surrounding ambient conditions, device status, etc. This paper would promote a lot of research in the area of application of IoT in Ambient Assisted Living.
Proceedings. 2006 31st IEEE Conference on Local Computer Networks, 2006
Pervasive computing environments such as smart spaces require a mechanism to easily integrate, manage and use numerous, heterogeneous sensors and actuators into the system. However, available sensor network platforms are inadequate for this task. The goals are requirements for a smart space are very different from the typical sensor network application. Specifically, we found that the manual integration of devices must be replaced by a scalable, plug-and-play mechanism. The space should be assembled programmatically by software developers, not hardwired by engineers and system integrators. This allows for cost-effective development, enables extensibility, and simplifies change management. We found that in a smart space, computation and power are readily available and connectivity is stable and rarely ad-hoc. Our deployment of a smart house (an assistive environment for seniors) guided us to designing Atlas, a new, commercially available service-oriented sensor and actuator platform that enables self-integrative, programmable pervasive spaces. We present the design and implementation of the Atlas hardware and middleware components, its salient characteristics, and several case studies of projects using Atlas.
2010
The Ubiquitous Computing concept was first defined by Mark Weiser (Weiser, 1995) and it refers to a new computing era where electronic devices merge with the background. People make use of those electronic devices unconsciously, focusing just on their needs and not in how to accomplish them. The concept of Ambient Intelligence (Ducatel et al., 2001), lying on the ubiquitous computing paradigm, refers to those environments where people are surrounded by all kind of intelligent intuitive devices, capable of recognising and responding to their changing needs. People perceive the surroundings as a service provider that satisfies their needs or inquiries in a seamless, unobstrusive and invisible way. It is generally agreed that AmI (Ambient Intelligence) will have a great impact in economy and society. The potential of AmI technologies in various application areas has been object of numerous studies. For example, the IPTS/ESTO Ambient Intelligence in Everyday Life Roadmap (Friedewald & D...