NeuroSnap: Expressing the User's Affective State with Facial Filters

摘要

The use of facial filters in social media have changed the way people communicate and share their emotions. Daily, users generate millions of videos content with visual filters, where they manually select and apply these filters on top of their video or images. This paper presents an artistic Brain-Computer Interface new method to express the user's affective state through facial filters. Therefore, this article presents NeuroSnap, an application modeled from Snapchat, where the user's affective state is expressed automatically with custom-designed facial filters. Each filter represents relaxation, alerted, or highly alerted based on the electroencephalography (EEG) waves. This paper also provides brief example scenarios with a focus on user experience on how users could interact with NeuroSnap. Lastly, this paper provides preliminary results on people's perception on this application and the accuracy of obtained values of both alpha and beta obtained from a mobile wireless BCI device.