13 Jul 2017
IoT1: Internet of Things – Software and Health
|1. SmiWork: An Interactive Smart Mirror Platform for Workplace Health Promotion|
|Oihane Gomez-Carmona and Diego Casado-Mansilla (University of Deusto, Spain)|
|This paper presents the design and implementation of a multi-user smart,mirror system conceived to promote wellness and healthier lifestyles at,the work environment through persuasive strategies. By means of a RFID,reader, the interactive mirror recognises different users through their,personal corporate ID card, which allows them to have access to their,personalised user-interface. The smart mirror provides workplace’s,indoor environmental conditions (thermal, humidity and light), personal,physical exercise data obtained from wearable devices and general,purpose information (e.g. weather and daily news). Additionally,,motivational advice related to physical performance is supplied through,request by applying speech-based recognition techniques. End-users can,also inquire the mirror about their ranking position in a fair-daily,competition that gives social recognition to the most-active-user. The,implemented mirror has been evaluated in a one-week study conducted in,the wild at the workplace premises. The quantitative data gathered,throughout the study, as well as the qualitative users’ feedback,obtained in a post-trial focus group, provided promising findings for,the acceptance and convenience of such a persuasive device at the work,environment. Furthermore, valuable design-insights were obtained for,future iterations of the smart mirror that encourages workers towards,healthier lifestyles.|
|2. A Context Aware System for an IoT-Based Smart Museum|
|Aparokshith Rao, Aditya Vikram Sharma and Shiva Narayan (College Of Engineering Guindy, India)|
|The need for fast, reliable and sustainable means of communication is on,the rise. Wearables are all set to revolutionize the industry with its,immense potential and the ability to be deployed almost anywhere to,offer an enhanced user experience. In this paper, we design and validate,a context aware content delivery system using a Raspberry Pi which,plays the role of a custom made wearable, consisting of an external,camera, a battery and an inbuilt Bluetooth module. Artwork recognition,has been done using RANSAC and ORB algorithm. Euclidean Distance,algorithm is also incorporated to ensure the two images have matched,without any error. A local database has been set up to hold the required,contents, this would be queried according to the location of the user.,Indoor localization plays a major role in this by speeding up the image,processing algorithm for the retrieval of the contents by the content,delivery system. The system has been designed to be easily extensible to,general IoT concepts and its effectiveness has been evaluated in a,controlled environment in our college campus.|
|3. An AAL system based on IoT Technologies and Linked Open Data for elderly monitoring in Smart Cities|
|Aitor Almeida, Ruben Mulero and Gorka Azkune (DeustoTech, Spain); Luca Mainetti, Vincenzo Mighali, Luigi Patrono, Piercosimo Rametta and Ilaria Sergi (University of Salento, Italy)|
|The 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 city-wide 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.|
|4. Rapid Prototyping Internet of Things Solutions Through a Model-Driven Approach: A Case Study in AAL|
|Adriana Caione, Alessandro Fiore, Luca Mainetti and Roberto Vergallo (University of Salento, Italy); Luigi Manco (University of Salento and Vidyasoft Srl, Italy)|
|The great expansion of the Internet of Things (IoT) in every aspect of,daily life requires expertise and considerable skills in different,fields and at different levels in order to rapidly create ad-hoc,applications. Developers have to deal with heterogeneous technologies,(hardware and software), communication format and protocols. So a,necessity arose to create solutions that speed up the prototyping of,applications, which can work abstracting the extreme heterogeneity of,sensors, actuators and smart objects, which they rely on. In order to,develop such applications, a certain number of tools and methodologies,should be used; in this category, major exponents are mashup tools and,the model-driven engineering methods. The first ones offer a convenient,approach for the rapid prototyping of IoT systems, while the second ones,offer a set of notation that allows to formally design the IoT,applications.
A valid proposal can be found in the Web of topics (WoX) solution, a,model-driven cloud platform based on the concept of Topics – an entity,containing the value of a feature of interest that we intend to measure -,and on its local counterpart, the Local-Web of topics (L-WoX), that,manages local instances of Topics of interest, allowing mobile,applications to collaborate among them, offering and receiving data.,Also a set of WoX adaptors is present for each IoT technology, both,physical (e.g. RFID, WSN, KNX, etc.) and virtual (social networks,,virtual environments, etc.) which uses the values incoming from the,smart objects to update specific Topics.
In this regards an interested application scenario is represented by,Ambient Assisted Living (AAL) solutions in the e-Health field. They can,be helpful in risky situations, as for instance the monitoring of an,elderly person who lives alone. The present work takes care of the rapid,design and prototyping of an Internet of Things (IoT) and mobile-based,system that detects the movements of an elderly person in her/his home,,acquiring data in a non-pervasive way. Our solution is built on top of,the WoX architecture and exploits L-WoX to transmit data toward the,cloud platform. This approach has demonstrated on one side the benefits,of the WoX solution in the rapid prototyping of the system and on the,other the practical way to accompany obtrusive monitoring technique,(typical of caregivers) with unobtrusive ones, in order to obtain,proactive intervention strategies for a smart city.
|5. Facilitation of IoT software maintenance via code analysis and generation|
|Aleksandar Dimov and Dimitar Manev (Sofia University, Bulgaria)|
|Internet of Things (IoT) software is gaining more and more interest into,the software engineering community. Big part of IoT systems is,represented by the so-called embedded systems. There exist a lot of,existing legacy code for embedded systems, which is going to be,integrated into the IoT environment. For most of these systems,,architectural information is either missing or poorly documented. This,hampers both straightforward integration of embedded systems into IoT,and analysis of their quality. To alleviate such problems this paper,presents the implementation of a software tool for reverse engineering,and code generation for embedded software systems.|