Publication: Research - peer-review › Article in proceedings – Annual report year: 2011
Combining a 14 channel neuroheadset with a smartphone to capture and process brain imaging data, we demonstrate the ability to distinguish among emotional responses re ected in dierent scalp potentials when viewing pleasant and unpleasant pictures compared to neutral content. Clustering independent components across subjects we are able to remove artifacts and identify common sources of synchronous brain activity, consistent with earlier ndings based on conventional EEG equipment. Applying a Bayesian approach to reconstruct the neural sources not only facilitates dierentiation of emotional responses but may also provide an intuitive interface for interacting with a 3D rendered model of brain activity. Integrating a wireless EEG set with a smartphone thus offers completely new opportunities for modeling the mental state of users as well as providing a basis for novel bio-feedback applications.
|Title||Affective Computing and Intelligent Interaction : 4th International Conference, ACII 2011 Memphis, TN, USA, October 9-12, 2011 Proceedings, Part II|
|Editors||S. D ́Mello|
|Conference||Conference of the HUMAINE Association on Affective Computing and Intelligent Interaction (ACII)|
|Period||09/10/11 → 12/10/11|
|Name||Lecture Notes in Computer Science|
|Citations||Web of Science® Times Cited: No match on DOI|
- Mobile EEG, Aective computing, Source reconstruction, ICA clustering
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