Albarrak, L. and Kanjo, E. ORCID: 0000-0002-1720-0661, 2013. A mobile brain sensing system for recommending third places. In: Human Interfaces for Civic and Urban Engagement, UbiComp, Zurich, September 2013, Zurich.
Full text not available from this repository.Abstract
Newly available EEG headsets allow us to sense mental states which could be useful in understanding how our brains are affected by the surrounding environments. In this paper, we present a novel recommendation approach that is based on mental states analysis. Mobile EEG headsets are used to detect mental states at different places to understand how they stimulate our brain signals. By analyzing EEG data, we could classify places according to the mental state signature, then we could build a map to guide and recommend therapeutical third places to people that lessen brain fatigue and mental rejuvenation.
Item Type: | Conference contribution |
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Creators: | Albarrak, L. and Kanjo, E. |
Publisher: | ACM |
Date: | 2013 |
Divisions: | Schools > School of Science and Technology |
Record created by: | EPrints Services |
Date Added: | 09 Oct 2015 10:19 |
Last Modified: | 09 Jun 2017 13:25 |
URI: | https://irep.ntu.ac.uk/id/eprint/11027 |
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