nati

Prof. Dr.-Ing. habil.
Natividad Martínez Madrid

Internet Technologies
School of Informatics
Reutlingen University
Alteburgstr. 150
D-72762 Reutlingen (Germany)
Phone: +49 7121 - 271 4014
Fax: +49 7121 - 271 904014
Email: natividad.martinez[at]reutlingen-university.de

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.

Galileo on board

Support from Intel’s University Program

Reutlingen, December 2014. The IoT Laboratory received support from Intel’s University Donation program. Intel is supporting selected Universities with the new Intel® Galileo Gen 2 board that has been recently released. Prof. Dr. Martínez Madrid applied to become member of the program because the Internet of Things requires powerful support by embedded platforms.  

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mBiDA is supporting German-Italian Dialog

Mobile Networks for Biometric Data Analysis (mBiDA)

Ancona, November 2014. Prevention and treatment of common and widespread (chronic) diseases is a challenge in any modern society and vitally important for health maintenance in aging societies. Capturing biometric data is a cornerstone for any analysis and treatment strategy. The event Mobile Networks for Biometric Data Analysis (mBiDA) contributed with seven different activities during two days to this raising topic.  

mbida small

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Clothing cycle assistant system

”eKlarA” - A clothing cycle assistant system supporting functionally impaired people

Ancona, 30 October 2014. Functionally impaired people have problems with choosing and finding the right clothing. So, they need help in their daily life to wash and manage the clothing. The goal of the work presented by Thomas Walzer is to support the user by giving recommendations to choose the right clothing, to find the clothing and how to wash the clothing. The idea behind eKlarA is to generate a gateway based system that uses sensors to identify the clothing and their state in the clothing cycle. The clothing cycle consists of (one and more) closet, laundry basket and washing machine in one ore several places. The gateway uses the information about the clothing, weather and calendar to support the user in the different steps of the clothing cycle. This allows to give more freedom to the functionally impaired people in their daily life.

thomas

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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.

emre mbida small

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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

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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)

Telemedicine and Automotive domains

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).

 

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Calendar

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