Abstract
In the situation of pandemic with people being ill, contagious, or suffering from long-term effects, touchless human computer interfaces, and especially brain computer interfaces (BCI), could provide humans with safe communication technologies as well as user-centric systems for rehabilitation. Hence, this work studies at first the representation of electroencephalogram (EEG) signals in a data space which is appropriate for an efficient data processing and a user-friendly interpretation. Then, we propose 3D data visualizations mapping the human brain activity into that data space. The developed representations have been successfully tested within a BCI framework through 3D data visualizations the user can see and interact with in real time.
| Original language | English |
|---|---|
| Title of host publication | IEEE International Symposium on Applied Computational Intelligence and Informatics |
| Place of Publication | Piscataway, NJ |
| Publisher | IEEE |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 30 Jun 2021 |
Keywords
- human computer interaction
- brain computer interface
- assistive technology
- multi-variate signal processing
- data processing
- data visualization
- machine learning
- neural networks
- reinforcement learning
- 3D visual feedback
- user-center graphical interface
