1,720,979 research outputs found
An IoT-aware Remote Monitoring System for Emergencies in Rallying
No full textCurrent manually-operated SOS systems used in Rallying are ineffective when driver and co-driver cannot push the SOS button due to loss of consciousness after the impact. The SafeRally service proposes a low-cost pilot monitoring system, to associate with existing tracking systems, able to automatically notify a serious accident, when both the driver and the co-driver cannot request help by themselves. First tests of the system have
been performed during the “Rally of Salento” race, demonstrating the efficacy and the ease of use of the implemented functionalities
An Innovative Face Emotion Recognition-based Platform by using a Mobile Device as a Virtual Tour
Full text linkEmotions are the base of human evolution. They help us to survive and to face up all problems of our life. Without emotions human evolution was not possible and we would be in caves. Nowadays, emotions are a very important aspect in different field not only in psychology. They are very important to understand human mind and decision-making process.Emotional tourism is an example of a new way to use emotions analysis. In this field emotions are used to create a most deep experience from the begin of a travel to each steps of the journey. They help tourism to make traveler the protagonist of his travel and not just a spectator.In this paper, we are going to show an app which predicts a travel destination based on user’s mood and facial expressions to specifics visual and auditory trigger to encounter his reactions. This app uses different technology linked together to make this solution versatile and dynamic. It implements different technology modules to perform facial and mood analysis, capturing the image, store image and show all trigger to the user. By adopting this solution is possible to easily upgrade the app and each module can be changed with no large problem adapting it to the current version of the app
Capturing Behavioral Changes of Elderly people through Unobtruisive Sensing Technologies
No full textThe behavioral analysis of individuals is an important science, especially if it is conducted on the elderly population, aiming to prevent Mild Cognitive Impairment (MCI) and frailty problems. A fundamental aspect in this context is to explore the use of innovative technologies enabling the Internet of Things (IoT), above all sensors, to unobtrusively capture personal data for automatically recognizing behavioral changes in elderly people. This is done with the aim to timely identify risks of MCI and frailty before they escalate into more serious conditions such as Alzheimer Disease. This paper aims to briefly describe the overall goal of the City4Age project, funded by the Horizon 2020 Programme of the European Commission, in particular focusing on the IoT-based personal data capturing system
A novel Rule-based Semantic Architecture for IoT Building Automation Systems
No full textThe ever growing number of smart devices connected to the Internet of Things is giving users the chance to sense data from surrounding environment and act upon it. However, interpreting raw data coming from heterogeneous sensors and applying control algorithms to actuators is not a simple task for the common end-user who wants to create applications for smart environments. For these reasons, this work deals with the definition of a novel rule-based semantic architecture for the implementation of building automation applications in an IoT context. Sensor data are abstracted at a high semantic level related to the properties they are associated to and interactions with actuators are driven by high-level desired actions. Applications have the form of an Event- Condition-Action (ECA) rule and the layered architecture separates high-level semantic reasoning aspects from low-level execution details. The proposed architecture is also compared with main state-of-the-art solutions and some suitable technologies for its implementation are suggested
Discovery and Mash-up of Physical Resources through a Web of Things Architecture
Full text linkThe Internet of Things has focused on new systems, the so-called smart things, to integrate the physical world with the virtual world by exploiting the network architecture of the Internet. However, defining applications on top of smart things is mainly reserved to system experts, since it requires a thorough knowledge of hardware platforms and some specific programming languages. Furthermore, a common infrastructure to publish and share resource information is also needed. In this paper, we propose a software architecture that simplifies the visual development and execution of mash-up applications based on smart things, exploiting Internet Web protocols and their ubiquitous availability even on constrained devices. We have developed a distributed architecture that allows to create and control mash-up applications in an easy and scalable way, without specific knowledge on both hardware and programming languages. In addition, we have also defined a centralized public database deployed on the Internet, to manage and share physical resource information. The effectiveness of the proposed framework has been tested through a real use case and experimental results have demonstrated the validity of the whole system
A novel architecture enabling the visual implementation of Web of Things applications
Full text linkThe concept of Internet of Things is becoming one of the key aspects for the future Internet, where embedded devices will be responsible for collecting data from the surrounding environment and making them available to useful mash-up applications. In order to guarantee a high feasibility of this scenario, it would be appropriate to have a flexible and intuitive architecture for the implementation of such applications without knowing specific details about the constrained hardware and operating system. Therefore, in this work, a software system for the graphical development of mash-up applications, dedicated to Wireless Sensor Networks, was designed and implemented. It is based on a Constrained Application Protocol application server, called Actinium, and on a graphical editor, called ClickScript. Especially the latter one has been substantially modified in order to communicate with Actinium and to interact with the constrained resources made available by the WSN. The effectiveness of the proposed solution has been tested through a real use case that has demonstrated the validity of the whole system
THE EFFECTIVENESS OF AN INTERNET OF THINGS-AWARE SMART VENTILATED INSULATION SYSTEM
Full text linkThe considerable thicknesses of common insulation systems, applied to the internal or external building envelope, can be inappropriate in the Mediterranean climates for improving buildings’ energy efficiency and their internal comfort at the same time; in fact, the high thicknesses of insulating material provided by legislation standards can be cause of environments’ over-heating and formation of condensation. In this framework, the S-MUnSTa system is an innovative dynamic ventilated insulation system able to overcome condensation and overheating phenomena, also exploiting Internet of Things (IoT) technologies; the main characteristic of the proposed smart insulation is that the ventilated external layer is equipped with dynamic valves of insulating material, for opening and closing the air channel, with the aim to optimize the thermal performance. In order to guarantee the expected performance of the system, as it has been patented, in this paper an innovative fixing system to install the insulating panels is presented. This new method allows a rapid and easy installation, without any specialization required and with low maintenance costs
An Innovative Approach for Monitoring Elderly Behavior by Detecting Home Appliance’s Usage
No full textDetecting how elderly people interact with their surrounding environment, especially with domestic electrical appliances, is an important parameter to assess Mild Cognitive Impairments and frailty issues. This paper proposes an innovative approach for monitoring elderly behavior by detecting
home appliance’s usage. It is based on an unobtrusive smart meter that periodically measures the global power consumption in the house, associated with some smart plugs for punctually monitoring specific electrical devices. This infrastructure has been implemented and validated within the Personal Data Capturing System of the City4Age Platform, where, joined with other provided monitoring systems, can feed risk detection
algorithms with more accurate data. Summarizing, implemented system, although simple and at low cost, is able to combine data provided by designed power meter with those of smart meter plugs and, by means of implemented algorithms, to detect unusual elder behavior, moreover resulting reliable and accurate
An AAL system based on IoT Technologies and Linked Open Data for elderly monitoring in Smart Cities
No full textThe average age growing of the urban population, with an increasing number of 65+ citizens, is calling for the cities to provide global services specifically geared to elderly people. In this context, collecting data from the elderly’s environment and his/her habits and making them available in a structured way to third parties for analysis, is the first step towards the realization of innovative user-centric services. This paper presents a citywide general IoT-based sensing infrastructure and a data management layer providing some REST and Linked Open Data Application Programming Interfaces (APIs) that collect and present data related to elderly people. In particular, this architecture is used by the H2020 City4Age project to help geriatricians in identifying the onset of Mild Cognitive Impairment (MCI) disease
An ECA-based Semantic Architecture for IoT Building Automation Systems
Full text linkThe Internet of Things (IoT), with its plethora of smart objects and technologies, allows to realize smart environments in several scenarios. However, the existing solutions are strictly intended for specific applications and their customization is often limited to what developers have considered at the design and implementation time. So, the integration of new functionalities requires significant changes by developers, while common users cannot make personalizations by themselves. For these reasons, this work deals with the definition of a novel rule-based semantic architecture for the easy implementation of building automation applications in an IoT context. Applications are structured as an Event-Condition-Action (ECA) rule and the layered architecture separates high-level semantic reasoning aspects from low-level execution details. The proposed architecture is also compared with main state-of-the-art solutions and a standard-based implementation framework is suggested. The last aspect is treated by referring to standardized guidelines and widely-accepted platforms, in order to make the proposal more attractive and robust
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