As sensor-rich mobile devices became a commodity, more opportunities appeared for the creation of location-aware services. While GPS is a well established solution for outdoor localization, there is still no standard solution for localization indoors. This paper presents a novel accurate indoor positioning mechanism that is meant to run in common smartphones to be a readily and widely available solution. The system is based on multiple gait-model based filtering techniques for accurate movement quantification in combination with an advanced fused positioning mechanism that leverages sequences of opportunistic observations towards an accurate localization process. Magnetic field fluctuations, Wi-Fi readings and movement data are incrementally matched with a feature spot map containing multi-dimensional spatially-related features that characterize the building. A novel and convenient way of mapping the architectural and environmental properties of buildings is also introduced, which avoids the burden normally associated with the process. The system has been evaluated by multiple users in open and crowded spaces where overall median localization errors between 1.11 m and 1.68 m were obtained. While the reported errors are already satisfactory in the context of indoor localization, improvements may be readily achieved through the inclusion of additional reference features. High accuracy performance coupled with an opportunistic and infrastructure-free approach creates a very desirable solution for the indoor localization market doge

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IoT is a very common buzzword in e-Health because the creation of new and better healthcare services are possible through technology-push. There are great expectations in using IoT in healthcare, but most studies describe very futuristic and disruptive solutions for the healthcare real world. In a near future these solutions could be implemented, but now we need some "baby steps" to reach an e-Health with IoT technology. In this paper it is presented a solution to transform a doctor's office in an IoT office by helping the doctor attend a patien. This solution has impact in the doctor's work because (s)he has a limited time to attend a patient and a big part of this time is spent writing the results of the appointment in a computer record-the electronic patient record. By other hand the patient improve their experience because the doctor will give them more attention and care.

Internet of Things (IoT) is a hot topic in the Europe Union (EU). In the year of 2015 the EU established an Alliance of Internet of Things Innovation (AIOTI) and this alliance included the IoT European Research Cluster (IERC) on the Internet of Things in the work group 01. IERC was established in 2007 and addresses the large potential for Internet of Thingsbased capabilities in Europe and to coordinate the convergence of ongoing activities. This organization regularly publishes Strategic Research Agendas with short, medium and long term forecasts of development and research topics.