Open Position »»
March 21, 2013
Come and visit the Electronics Lab at Treffpunkt Science City on Sunday, April 7, see more details
March 18, 2013
Best student oral presentation to Luisa Petti
at the 9th International Thin-Film Transkistor Converence (ITC2013)Influence of Mechanical Strain on Flexible IGZO-Based Ferroelectric Memory TFTs
Driven by quality and cost issues, the healthcare systems have to change radically in the near future. One possibility to meet the healthcare demands is to move from managing illness to maintaining wellness. In this transformation, pervasive technologies will play a major role [Arnrich et al, 2010].
The envisioned pervasive computing infrastructure makes healthcare available everywhere, anytime and to anyone. Important enabling technologies are: pervasive sensing and computing, pervasive communication and human-computer interfaces. In several projects, we are researching pervasive computing technologies towards paving the way for a pervasive, user-centered and preventive healthcare model.
- CuPiD (EU FP7) - Closed loop system for personalized and at-home rehabilitation of people with Parkinson's disease: We develop wearable technologies for the rehabilitation of persons with Parkinson disease.
- In the interdisciplinary research project Micro-level behavior and team performance: A social signal processing approach to teamwork we are collaborating with social psychologists. We develop new theories on how psychological constructs determine team performance and how these constructs are connected with observable behavior. We will subsequently test these theories by using body-worn sensors to measure team behavior. Specifically, we will investigate behavior measures in firefighting teams, in surgical teams, and in simulated management teams.
- ProFiTex is a research project funded under the 7th Framework Programme
of the European Union. The overall objective of ProFiTex is to
increase work safety and efficiency of
fire fighting interventions through advanced protective equipment
including in particular sensing technologies for increased situational
awareness and a novel solution for robust communication. Our
contribution consists of monitoring firefighter's health and
performance by means of wearable sensor technologies.
- MONARCA is a research project funded under the 7th Framework Programme
of the European Union. The overall objective is to develop and validate
mobile technologies for multi-parametric, long term monitoring of
behavioral and physiological information relevant to bipolar disorder.
It will combine those solutions with an appropriate platform and a set
of services into an innovative system for management, treatment, and
self-treatment of the disease.
- In the area of mental health we focus on the automatic detection of emotions and stress
as a rather young discipline that is gaining more and more interest.
Besides the HCI field, emotion and stress recognition is relevant for
personal health care. For people suffering from a mental disease,
emotion recognition can provide the therapists with more insight into
the daily variations of the patient’s state. Additionally, emotion
recognition might be used for prevention and early detection of stress,
burn-outs and depressions.
- In the SEAT
EU-project, we are focusing on multi-parametric monitoring of the
user’s health- and mental state in a seat environment. By using
innovative electronic sensors that are embedded into the seat, we are
able to continuously measure a variety of parameters (like breathing or
heart rate) with a certain degree of accuracy. During our experiments,
we additionally collect reference data with established techniques like
ECG recordings using wet electrodes. The fusion of the embedded sensor
systems enables us to investigate correlations between the unobtrusive
but imprecise sensor readings with the established gold standard.
- Within the daphnet project we extend previous research on the properties of single physiological signals to long-term effects and interrelations between a multitude of signals. The simultaneous collection of several long-term signals will enable the construction of physiological networks using dynamical synchronization and cross-correlations patterns, whose momentary state together with the properties of each signal can give a picture of the health status of an individual. The Wearable Computing Lab is the leading partner in the area of the wearable platform and on-body electronics. Furthermore, the Wearable Computing Lab supports the project in the field of context recognition.
- Embedded in the MyHeart
EU-project we are focusing on the on-line monitoring of nutrition using
body-worn, unobtrusive and non-invasive sensors. Obesity monitoring,
detection of water ingestions and hypoglycaemic shock prevention are
possible applications. Recognition methods for three sensing domains
have been explored: body motion during intake, food fractioning sounds
and bolus swallowing reflex.
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