01-Nov-2014 | 09:34 CET
IOT-Lab Site
November 2014
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Prof. Dr.-Ing. habil. Natividad Martínez Madrid

Internet Technologies

School of Informatics
Reutlingen University

Alteburgstr. 150

D-72762 Reutlingen (Germany)


+49 7121 - 271 4014


+49 7121 - 271 904014



Master Project

Die im IoT erarbeiteten Projekte untersuchen die Integration von kollaborativen, vernetzten Geräten in intelligenten Umgebungen (Ambient Intelligence).

Die Allgegenwärtigkeit des Webs als Kommunikationsplattform macht die kollaborativen, verteilten Systeme immer mobiler und bringt sie näher zum Menschen und seiner Umgebung. Ob von Smartphones, Tablets oder sogar aus Autos: Menschen können jederzeit miteinander zusammenarbeiten und dabei Daten sammeln, verarbeiten, verwalten und abrufen. Neben den ubiquitären und mobilen Technologien spielen Inhalte im Projekt IoT eine große Rolle, seien es Streams für Multimedia-Netzwerke, Patientenkrankenakten in Krankenhausinformationssystemen (KIS), maschinelles Lernen über Sensordaten oder Datenschutz für die Privatsphäre.

Anwendungsgebiete der Projekte sind

  • verteilte Service-Middleware und -Systeme für multimediale Kommunikationen
  • Telematik- und Fahrassistenzsysteme im Auto
  • Ambient Assisted Living (AAL)
  • eHealth, Telemonitoring, etc.
News Flash

Energy-efficiency and safety relevant driving system

Considering driver stress to increase the user acceptance while generating recommendations in an energy-efficiency and safety relevant driving system

Ancona, 30 October 2014. Besides the optimisation of the car, energy-efficiency and safety can also be increased by optimising the driving behaviour. Based on this fact, Emre Yay presented a driving system whose goal is to educate the driver in energy-efficient and safe driving. It monitors the driver, the car and the environment and gives energy- efficiency and safety relevant recommendations. However, the driving system tries not to distract or bother the driver by giving recommendations for example during stressful driving situations or when the driver is not interested in that recommendation. Therefore, the driving system monitors the stress level of the driver as well as the reaction of the driver to a given recommendation and decides whether to give a recommendation or not. This allows to supress recommendations when needed and, thus, to increase the road safety and the user acceptance of the driving system.


Case management techniques capturing individual dysfunctionality

Tackle demographic change by proposing a methodology to achieve empowerment

Dubrovnik, September 2014. An ongoing challenge in our days is to lower the impact on the quality of life caused by dysfunctionality through individual support. With the background of an aging society and continuous increases in costs for care, a holistic solution is needed. This solution must integrate individual needs and preferences, locally available possibilities, regional conditions, professional and informal caregivers and provide the flexibility to implement future requirements.

mbec 2014


New Master Project IOT (starting SS14)

Internet of Things Laboratory is offering the Master Project IOT

Reutlingen, September 2014. The new Master Human-Centered Computing (HUC) is starting from SS14 and the Internet of Things Laboratory is offering the Master Project IOT for the students in the first and second semesters. 

The IOT Master Project is the successor of the WMC2 Master Project (wmc2.reutlingen-university.de). In the new Master Project, more emphasis is being set on technologies around distributed devices for telematics and ambient assisted living. More information under Master Project.


Ambient Intelligence for Telemedicine and Automotive domains (AITA)

Seville, 29-30th November 2013, the worksho AITA - Ambient Intelligence for Telemedicine and Automotive domains - aims to discuss leading edge contributions to the interdisciplinary research area of ambient intelligence (AmI) applied to the domains of telemedicine and driving assistance. AmI refers to human centered environments attributed with sensors. The development of AmI in the two application domains of the workshop shares several commonalities: the extensive usage of networked devices and sensors, the design of artificial intelligence algorithms for diagnosis, including recommendation systems and qualitative reasoning or the application of mobile and wireless communication to their distributed systems. Together with the presentation of common aspects of Ambient Intelligence, a further goal of the workshop is to stimulate synergies among both application domains and present examples. The telemedicine domain can benefit from methodologies in designing complex devices, real-time conform system design, audiovisual or computer vision system design used in automotive driving assistance. Furthermore, the automotive domain can benefit from the user-centric view, biometric sensor data design, multi-user data bases for aggregation and diagnosis using big data like used in telemedicine.

The workshop is co-organized by the IOTLAB of the Department of Computer Science at Reutlingen University.

Link to the workshop: AITA 2013

Here is the link to the videostream starting Friday (9:00-19:30 CET).



IBH Think Tank

Demografic change is one of the more relevant topics in modern society. The Internationale Bodensee Hochschule issued a call for a think tank action. Five working groups have been proposed in Vaduz. For the IoTLab, Prof. Dr. Martínez Madrid participated in the group Health&Performance with the objective to launch a common project activity on European level together with core partners.


PhD Javier Martínez Fernández: A stress-awareness approach to safer decision making in the trading process integrating biometric sensor technology

A stress-awareness approach to safer decision making in the trading process integrating biometric sensor technology

On Jun 15, 2012, Javier Martinez Fernandez defended his Ph.D. dissertation at University Carlos III Madrid, Spain, entitled; “A stress-awareness approach to safer decision making in the trading process integrating biometric sensor technology”. A great part of the research was funded by Spanish Ministry of Education under the project ARTEMISA (TIN2009-14378-C02-02). Javier defended his dissertation in a publicly open ceremony held in the University Carlos III Madrid, and was able to comment on every question raised by the assessing committee. The thesis was supervised by Prof. Dr. R. Seepold and co-supervised by Prof. Dr. N. Martinez Madrid. An important part of this research was carried out during a year stay at University of Ulster, UK, supervised by Dr. J.C. Augusto.

The thesis has been read and approved by the assessing committee which included Prof. Dr. C. Delgado Kloos, Prof. Dr. J.A. Ortega, Prof. Dr. W. Elmenreich, Prof. Dr. J. Vehi and Prof.Dr. I.M. Esteve, all present at the ceremony.