Promoting Relaxation by Real-Time Mental State Recognition

Non-FAU Project

Project Details

Project leader:
Prof. Dr. Björn Eskofier

Project members:
Robert Richer
Prof. Dr. Björn Eskofier

Contributing FAU Organisations:
Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)

Start date: 01/10/2016

Abstract (technical / expert description):

The ability to relax is sometimes challenging to achieve, nevertheless it is extremely important for mental and physical health, particularly to effectively manage stress and anxiety. For this reason, we propose a virtual reality experience that integrates a wearable, low-cost EEG headband and an olfactory necklace that passively promotes relaxation.

Due to the increasing quality and availability of low-cost EEG systems they can be applied in such a scenario to measure the current level of relaxation. Therefore, we introduce new algorithms for real-time mental state recognition based on an entropy-based signal processing approach.

External Partners

Massachusetts Institute of Technology (MIT)


Amores, J., Fuste, A., & Richer, R. (2019). Deep Reality: Towards Increasing Relaxation in VR by Subtly Changing Light, Sound and Movement Based on HR, EDA, and EEG. In ACM (Eds.), CHI 2019 Video Showcase. Glasgow, GB.
Amores, J., Richer, R., Zhao, N., Maes, P., & Eskofier, B. (2018). Promoting Relaxation Using Virtual Reality, Olfactory Interfaces and Wearable EEG. In IEEE (Eds.), 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN). Las Vegas, NV, US.
Richer, R., Zhao, N., Amores, J., Eskofier, B., & Paradiso, J.A. (2018). Real-time Mental State Recognition using a Wearable EEG. In IEEE (Eds.), Proceedings of the 40th International Engineering in Medicine and Biology Conference (EMBC). Honolulu, Hawaii, US.

Last updated on 2019-21-03 at 21:04