Implicit emotional tagging of multimedia using EEG signals and brain computer interface
WSM '09 Proceedings of the first SIGMM workshop on Social media
MobSens: Making Smart Phones Smarter
IEEE Pervasive Computing
NoiseSPY: A Real-Time Mobile Phone Platform for Urban Noise Monitoring and Mapping
Mobile Networks and Applications
Toward exploiting EEG input in a reading tutor
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
A mobile brain sensing system for recommending third places
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
Sense of space: mapping physiological emotion response in urban space
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
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The ability to detect mental states, whether relaxation or stressed, would be useful in categorizing places according to their impact on our brains and many other domains. Newly available, affordable and dry-electrode devices make electroencephalography headsets (EEG) feasible to use outside the lab, for example in open spaces and shopping malls. The purpose of this pervasive experimental manipulation is to analyze brain signals in order to label outdoor places according to how users perceive them with a focus on ---relaxing and ---stressful mental states. That is, when the user is experiencing tranquil brain waves or not when visiting a particular place. This paper demonstrates the potential of exploiting the temporal structure of EEG signals in making sense of outdoor places. The EEG signals induced by the place stimuli are analyzed and exploited to distinguish what we refer to as a place signature.