Research – Projects

Research Fields
Application Areas

Since its founding in 1993, the TECO research group has been directing a multitude of projects across a wide range of research topics which can be divided into three broader Research Fields: Analytics, Human-Computer Interaction, and Sensors and Systems.

With partners from relevant industry sectors and the core idea to tie research and industry closer together, all of these projects are tightly linked to one or multiple Application Areas, most importantly Big Data, the Internet of Things & Industry 4.0, Mobile & Wearable Computing, and Smart Cities.

With the rise of Ubiquitous Computing, computers and therefore sensors have become omnipresent in our daily life. Likewise, Industry 4.0 strategies have introduced sensors in the supply chain and production processes. The TECO research group develops and analyses improvements in how these sensors collect information, connect with each other, and interchange and process data to enable innovative processes throughout society in business, Smart City, industrial and private settings.

Other projects study how people interact with electronic devices and which tools can assist individuals or teams in different environments to benefit from technological advancement. Finding new forms of preparing and conveying information by using Augmented Reality or special feedback methods suited for particular contexts is essential to maximize the efficiency and usability of these computer systems.

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Research Fields
Application Areas


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OpenEarable Package

OpenEarable is a new, open-source, Arduino-based platform for ear-based sensing applications.It supports a series of sensors and actuators: a 9-axis inertial measurement unit, an ear canal pressure and temperature sensor, an inward facing ultrasound microphone as well as a speaker, a push button, and a controllable LED. We demonstrate the versatility of the prototyping platform more…

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KD² School

Whereas decision making is a frequent everyday life task, its scientific investigation is mainly done in lab studies. However, progress in mobile technology in recent years enables studying such processes in daily life, using digital phenotyping, smartphone technology and wearables. This project will focus on developing methods for robust Activity and Affect Recognition. Affect is more…

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Validaitor is a former research project and now Start-UP that is being incubated by the TECO research group. The purpose of the project is to develop a comprehensive system for the auditing and the certification of the AI systems. The project gets its funding from the BMBF under the StartUpSecure KASTEL programme. More information can more…

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HIDSS4Health and HIDA The aim of the Helmholtz Information & Data Science School for Health (HIDSS4Health) is to attract, promote and train the best young talents at the interface between data science and health-related applications. HIDSS4Health offers a structured doctoral training program embedded in a highly interdisciplinary research environment, bringing together experts from more…