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The possibilities for researching human behaviour with the help of artificial intelligence are being taken to the next level in Kulmbach: The Live-in Lab there is Europe's leading laboratory for digital, AI-supported research into human behaviour in everyday life. It has now been opened.
"We know so much about human genetics, but so little about our environment and our behaviour in it. It is therefore particularly important to measure this with the help of artificial intelligence. The findings make an important contribution to holistic research into human health," says Prof Dr Aldo Faisal, Professor of Digital Health with a focus on data science in the life sciences at the University of Bayreuth, explaining the idea behind the Live-in Lab.
A unique research environment has been created in two flats in Kulmbach that makes it possible to study everyday human activities such as cooking, eating, learning, cleaning and interacting with other people and to analyse this with the help of artificial intelligence. The innovative approach uses realsense cameras and intelligent body sensors to collect movement data and recognise movement patterns. The collection of data in Kulmbach is not limited to a specific action, as in previous research, but captures the entire spectrum of human behaviour in a completely natural and non-invasive way.
The Living Lab's technological equipment includes depth cameras, realsense cameras, radar sensors, wearable sensors on the body, eye-tracking glasses, chemical and air sensors and continuous EMG & EEG measurements. These technologies are used to collect behavioural and health-related data, for example to identify the subject's intentions and then support them digitally, but also to understand how small changes in everyday life can lead to improvements in health. Long-term recordings will make it possible to make certain medical prognoses and improve the prevention and rehabilitation of illnesses. Insights into the integration of human behaviour and artificial intelligence for the healthcare sector can also be expected, as well as findings for intelligent assistance and home technologies that can be objectively tested and optimised here.
Prof. Dr Aldo Faisal is Head of Research at the Brain and Behaviour Lab, based in London and Bayreuth, which works at the interface of machine learning, neuroscience and biomedical engineering. He is Professor of Digital Health & Data Science in the Life Sciences at the Faculty of Life Sciences: Food, Nutrition and Health at the University of Bayreuth in Kulmbach. He also holds a Professorship in AI and Neuroscience at Imperial College London and is Director of the Behaviour Analytics Lab at the Data Science Institute in London.
Prof. Dr. Aldo Faisal
aldo.faisal@uni-bayreuth.de
Lena Nieper
Research Associate at the Chair in Digital Health (Prof. Dr Aldo Faisal)
University of Bayreuth
Mail: Lena.Nieper@uni-bayreuth.de
Phone: +49 (0) 157 3334 2628
https://www.digital-health.uni-bayreuth.de/en/index.html
https://www.imperial.ac.uk/data-science/research/multidisciplinary-labs/behaviou...
https://www.uni-bayreuth.de/pressemitteilung/KI-Wearables-neurologische-Erkranku...
People are observed by sensors and cameras over several hours or days so that conclusions can be dra ...
Anja-Maria Meister
UBT/AMM
People are observed by sensors and cameras over several hours or days so that conclusions can be dra ...
Anja-Maria Meister
UBT/AMM
Prof. Dr. Aldo Faisal
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