Abstract
Using neural correlates of intentionally induced human emotions may offer alternative imagery strategies to control brain-computer interface (BCI) applications. In this paper, self-induced emotions i.e., emotions induced by participants performing sad or happy related emotional imagery, are compared to motor imagery (MI) in a two-class electroencephalogram (EEG)-based BCI. The BCI setup included a multistage signal-processing framework allowing online continuous feedback presentation in a game involving one-dimensional control of game character. With seven participants, the highest online accuracies were 90% for emotion-inducing imagery (EII) and 80% for MI. Offline and online results analysis showed no significant differences in MI and EII performance. The results suggest that EII may be suitable for intentional control in BCI paradigms and offer a viable alternative for some BCI users.
| Original language | English |
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| Title of host publication | Unknown Host Publication |
| Place of Publication | Austria |
| Publisher | Verlag der Technischen Universitat Graz |
| ISBN (Print) | 978-3-85125-533-1 |
| DOIs | |
| Publication status | Published - 22 Sept 2017 |
| Event | the 7th Graz BCI Conference 2017 - Duration: 22 Sept 2017 → … |
Conference
| Conference | the 7th Graz BCI Conference 2017 |
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| Period | 22/09/17 → … |
Keywords
- Brain-Computer Interfacing
- Emotion Imagery
- Motor Imagery
- EEG
- Games