milab is a laboratory at the Cognitive Systems Section at DTU Informatics offering an environment for research and teaching in the areas of mobile context awareness, media modeling, and user experiences. Advanced mobile phones and internet tablets are available for application prototype development and experiments, along with a set of useful tools.
We are proud to announce the availability of the Smartphone Brain Scanner as open source under the MIT License.
SmartphoneBrainScanner2 is a framework for building cross-platform real-time EEG applications. Originally developed at Technical University of Denmark for collecting and analyzing signals from Emotiv EPOC headset, its extensible architecture allows working with various EEG systems and multiple platforms.
SmartphoneBrainScanner2 contains state-of-the-art techniques for working with multi-channel EEG signal in real-time, most notably source reconstruction methods with online adaptation to the noise level. Current implemented source reconstruction approaches cover the minimum-norm and low resolution tomography (LORETA) methods formulated in a Bayesian framework using a expectation-maximization scheme for hyperparameter estimation. The SBS2 source reconstruction is realized using a pre-build forward model connecting the cortical surface with the electrodes at the scalp. The current forward model provided with the software is a 3-spheres model obtained from the Matlab toolbox SPM8 using coarse spatial resolution and with sensor positions in accordance with the Emotiv EPOC system.
Source code and additional information is available on the smartphonebrainscanner2 project website.
With the Roskilde ArtistRecommender app for Android, it is possible to get personal artist recommendations. Find the bands playing at Roskilde Festival which are similar to your taste in music, and explore new music at the Roskilde Festival.
The app is developed by three masters students in the Digital Media Engineering program at DTU Informatics and was recently selected as one of four winner apps at Roskilde LABS '12. Congratulations to Erik Beuschau, Michael Lunøe and Rasmus Theodorsen.
The DTU Roskilde site also has a short article (in danish) about the ArtistRecommender app.
All apps can be downloaded from Google Play.
Authors of articles for the Personal Informatics in Practice workshop at CHI 2012 in Austin, TX on May 6, 2012 have been asked to write a summary for the Quantified Self Blog. Our Blog Guest Post is a summary of our paper “A Cross-Platform Smartphone Brain Scanner”. It is authored by Jakob Eg Larsen, Arkadiusz Stopczynski, Carsten Stahlhut, Michael Kai Petersen, and Lars Kai Hansen.
The workshop will be a gathering of researchers, designers, and practitioners exploring how to better support personal informatics in people’s everyday lives.
We have received a grant from the H. C. Ørsted Foundation (in danish: H. C. Ørsteds Fond for Teknisk-Videnskabelige undersøgelser) to support our research in human behavior and mobility modeling using smartphones and wearable sensors.
A video of our smartphone brain scanner is available:
More information available here.
The Roskilde '11 ArtistRecommender app developed by a team of DTU students Erik Beuschau, Michael Lunøe and Rasmus Theodorsen, as part of the festival courses in the Roskilde Festival powered by DTU Students initiative is now formally promoted by Roskilde Festival.
Also Berlingske has an article discussing 'Smart apps for Roskilde Festival' mentioning the Roskilde '11 ArtistRecommender app.
DTU student Thor Riisbjerg Hedegaard won the Roskilde Festival developer competition with his concept ”Roskilde Hook Up”, which includes an app allowing festival participants to “hook up” with other camps or participants.
More information about the announcement of winners at the Roskilde Festival website.
The complete list of blog entries is available in the archive.