Hamburg, November 2019.The aim of the work presented at the Congress of the German Sleep Society is to recognize the driver's fatigue. EEG signals are divided into sequences by an algorithm and classified by a neural network.
Stuttgart, October 2019. At the beginning of August 2019, the Baden-Württemberg Ministry of Economics, Labour and Housing approved the project "Construction and operation of a (virtual) competence centre for market and business processes Smart Home & Living Baden-Württemberg" with a funding volume of 1 million Euros. Prof. Dr. Natividad Martínez Madrid will work with her group on the core architecture of the intelligent selection tool and contribute new algorithms.
Berlin, July 2019. Information and communication technologies support telemedicine to lower health access barriers and to provide better health care. While the potential in Active Assisted Living (AAL) is increasing, it is difficult to evaluate its benefits for the user, and it requires coordinated actions to launch it.
Granada, April 2018. A textile sensor platform developed in the IoT Laboratory of Prof. Dr. Martínez Madrid and the rapid prototyping platform WearIT have been presented at the IWBBIO 2018 conference in Granada. This work is in line with two more results presented: the Textile Sensor Platform and a review on health systems monitoring a patients sleep behavior with the help of a bed or Cushion.
Konstanz, December 2017. The overall scientific goal of the collaboration between HTWG Konstanz (Prof. Dr. Seepold), Slovak University of Technology (Prof. Dr. Lehocki) and Reutlingen University (Prof. Dr. Martínez Madrid) is to detect and analyze a person's emotion with the help of a sensor network in order to support diagnostic decisions. In this project, emotion detection requires personalized analysis of a multi-dimensional set of parameters in real-time. The set of acquired parameters include different bio vital data (like ECG, EEG, skin conductivity, etc.) together with non- bio vital data (like location, movement/activity detection, activity in social media, etc.). These parameters are stored in a time-series of multidimensional matrices. Different parameters of both types (vital and non-vital) can be combined in subsets to perform pattern-based emotion recognition. For example, stress is associated with certain ECG-patterns (increased heart rate), and the recognized activity (for example running) can be used to strengthen or weaken (as in this case) the emotion recognition result.
Granada, April, 28 2017. Medical applications are becoming increasingly important in the current development of health care and therefore a crucial part of the medical industry. Armando Stattis work presented at IWBBIO 2017 focuses on the analysis of requirements and the challenges arisen from designing mobile medical applications in relation to the user interface.
Girona, February/March, 2017. The goal of the Master in Smart Healthcare Systems at the university of Girona is to prepare technologists to address significant clinical challenges. The curriculum is highly oriented to professional and scientific innovation in the health services sector. Prof. Dr. Martínez Madrid presented recent research results from a IoTLab at Reutlingen University on the topic of interfaces for mobile medical applications.
Ancona, November 2016. The cooperation between Università Politecnica delle Marche, Reutlingen University and HTWG Konstanz launched the workshop AnBiPa. Individual stress as well as frequent sleep disorder seems to be related with chronicle diseases like diabetes, cerebrovascular disease or other psychiatric illnesses. Besides capturing a huge amount of data, it needs to be interpreted and compared to patterns suited to detect stress and sleep quality in real-time. One are of research is to detect and analyze a relationship between stress and healthy sleep. A second domain covered by the workshop is to derive individual recommendations to improve a health life. A relevant domains are models, systems, technology and services for Ambient Intelligence and Ambient Assisted Living to improve the quality of life, especially for people with "fragility" to obtain an active longevity.
Bratislava, September 2016. The cooperation between Slovak University of Technology, Reutlingen University and HTWG Konstanz launched the first workshop on Technologies to detect and analyze emotions with the help of sensor networks. There is a significant demand for tools and services supporting rehabilitation, wellbeing and healthy life styles while reducing the level of intrusiveness, increasing real-time available, reliable results and maintaining costs. Self-monitoring applications need to be improved to move beyond tracking exercise habits and capture a more comprehensive digital footprint of human behavior such that emotional states are detected and appropriate recommendations and interventions are deployed to systematically increase the overall personal wellbeing. This is especially important for aging population, as behavioral patterns may have a direct effect on the life expectancy and the cost of care. This workshop focusses on technologies to detect and analyze a person's emotion with the help of a sensor network in order to support diagnostic decisions.
Stuttgart, July 20, 2016. Am 20.07.2016 wurde der Verein Smart Home & Living Baden-Württemberg in Stuttgart gegründet, mit dem Ziel die Digitalisierung im Wohn- und Pflegebereich im Land weiter voranzutreiben. Um zukünftig besser vernetzt zu sein und noch intensiver zusammenarbeiten zu können, haben die relevanten Akteure den neuen Verein initiiert. Hierzu gehören unter anderem Cluster-Initiativen, Innovationsnetzwerke, Technologie- und Kompetenztransferzentren, Unternehmen, Forschungsinstitute, Universitäten, Hochschulen, Wirtschaftsorganisationen, Sozialverbände und Akut- und Pflegeeinrichtungen. (Text in English)
