Gonzalez-Sanchez J., Chavez-Echeagaray M.E., Lin, L., Baydogan, M., Christopherson R., Gibson D., Atkinson R., and Burleson W. (2013). Affect Recognition in Learning Scenarios: Matching Facial- and BCI-Based Values. Proceedings of the 13th IEEE International Conference on Advanced Learning Technologies (ICALT). Beijing, China. July 2013. In Press. – See more at: http://javiergs.com/?p=2119#sthash.mRkYqiwU.dpuf Abstract The ability […]
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The B-Alert X24 (Flexible 24 Channel @ 256Hz Wireless EEG Headset) combines power and flexibility for mobile neurophysiological monitoring offering two interchangeable, pre-configured sensor strips — each of which assures individualized fit and accurate site placement across subjects. It includes 20 channels of high-quality EEG, plus 4 optional channels used for any one or combination […]
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Bernays, R., Mone, J., Yau, P., Murcia, M., Gonzalez-Sanchez, J., Chavez-Echeagaray, M.E., Christopherson, R., and Atkinson, R. 2012. Lost in the dark: emotion adaption. In Adjunct proc. of the 25th annual ACM symposium on User interface software and technology. ACM, New York, NY, USA, 79-80. DOI=10.1145/2380296.2380331 Abstract Having environments that able to adjust […]
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ACM Conference on Human Factors in Computing Systems Austin, Texas, USA. May 2012 Tutorial. 2-session(s): May 9, 14:30-15:50 and May 9, 16:30-17:50 (Room 13B) Contribution & Benefit This course presents devices and explores methodologies for multimodal detection of affective states, as well as a discussion about presenter’s experiences using them both in learning and […]
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Associate Professor and PI Ira A. Fulton Schools of Engineering. School of Computing, Informatics, and Decision Systems Engineering. Mary Lou Fulton Teacher’s College Division of Educational Leadership and Innovation Dr. Robert Atkinson is an Associate Professor with a joint appointment in the School of Computing, Informatics, and Decision Systems Engineering in the Ira A. Schools of […]
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In this post we are trying to share our experiences using Emotiv Epoc headset. Different software to use the tool We are using three different applications to get information from the head set: Emotive suite. This is the software that comes with the head set (Control Panel). This application is useful when you want to […]
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As commented in our post “Experiences using Emotiv Epoc headset”, one of the tools we are using to visualize data from the emotiv headset is NeuroVault. This software is not the original software that is provided with the emotive headset. However, this is an alternate software that could be useful to gather the information from […]
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PhD Student | Research Assistant | Teaching Assistant Computer Science with AME concentration Ira A. Fulton Schools of Engineering School of Computing, Informatics, and Decision Systems Engineering Helen joined the PhD program in Computer Science at Arizona State University (ASU) in January 2009. She received an M.S. in Computer Science from the Tecnológico […]
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PhD Student | Research Assistant | Teaching Assistant Computer Science with AME concentration Ira A. Fulton Schools of Engineering School of Computing, Informatics, and Decision Systems Engineering Javier joined the PhD program in Computer Science at Arizona State University in January 2009. He received an M.S. in Electrical Engineering with […]
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Emotiv logger is a system that allows the researcher to record data coming from the Emotiv Epoc EEG Headset. This logger was developed by our team, using C++ and the Emotiv SDK Developer Edition. The main advantage of this logger is the low load that generates in the computer compared with the other tools we have […]
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