Aug. 24, 2020
ODRADEK – A Tangible User Interface that Simulates Emotional Behaviour in a Smart Home Environment A home is a place where people can express their personality. It is a place where personal belongings are displayed and collected. Some things are useful, and others...
Juli 25, 2020
A Unicorn to control the Ambient Light The Unicorn is a tangible interface to control the ambient light in the Living Place Lab. Sentimental artifacts, heirlooms, and personal belongings—displayed in homes—represent a person’s identity and social world. But a lot of...
Juni 24, 2020
Espresso Cup The Espresso Cup is a tangible artifact to analyse the user’s drinking behaviour through data mining methods. The Espresso Cup is a further development of the SmartMug by Joschka Sondhof and focuses on the daily user’s coffee consumption in home...
Juni 24, 2020
Good Morning Benjamin! – Smart Home as Digital Twin This project is part of the elective module at the computer science department, which is available to students from the 5th semester onwards. Due to the unintended restrictions on meeting in groups that were caused...
Apr. 29, 2020
MoGaSens The aim of the project is the conception, development and testing of „MoGaSens“ (in German for: „Mobiles Ganzkörper-Sensorsystems“), an IT-based system for the fitness-oriented prevention and training application under the supervision...
Apr. 9, 2020
Ambient Surfaces In this project, we have been working on questions regarding our „Ambient Surfaces“ solution since 2012. The project picks up ideas from research into so-called „ambient displays“. These devices principally aim at, on the one...
Jan. 21, 2020
Visualising Air Pollution Datasets with Real-Time Game Engines We call attention to the specific properties of air pollution, including its invisibility, pervasiveness, and the fact that it permeates organisms, and propose to visualise them with particle simulations....
Jan. 20, 2020
Space-time data mining in dynamic sensor systems Source: Particulate matter data map, Luftdaten.info Space-time data mining is used in almost all big data systems. Metadata is also stored for each generated data point. These contain information about the place and...
Jan. 17, 2020
Time Series Analysis of Physiological Data for Emotion Recognition using Deep Learning A good emotion recognition is of great importance for companion systems in order to be able to respond to the user in the best possible way. In this master thesis the test setup and...
Jan. 17, 2020
Deep Learning based Buy Predictions with Sequence Models Identifying whether a clicked item in an e-commerce session will end in a purchase is a current research inquiry. This task was also set at the RecSys Challenge in 2015. The competition was won with a two-stage...
Jan. 17, 2020
Towards German Abstractive Text Summarization using Deep Learning Text summarization is an established sequence learning problem divided into extractive and abstractive models. While extractive models learn to only rank words and sentences, abstractive models learn to...
Okt. 28, 2019
nHAWigatora miniature ship Beim Modellschiff nHAWigatora handelt es sich um ein Miniaturschiff im Maßstab 1:100. Dieses ist ausgestattet mit Aktorik zum Manövrieren und mit Sensorik, um die Umwelt zu erfassen. Eingesetzt und getestet wird die nHAWigatora im Miniatur...
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