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The EMOTIV Library: a collection of news, videos, independent research studies, events and press mentions from around the web.

Steering a Tractor by Means of an EMG-Based Human-Machine Interface

Jaime Gomez-Gil,  Israel San-Jose-Gonzalez,  Luis Fernando Nicolas-Alonso and Sergio Alonso-Garcia. Department of Signal Theory, Communications and Telematics Engineering, University ofm Valladolid, 47011 Valladolid, Spain   Abstract An electromiographic (EMG)-based human-machine interface (HMI) is a communication pathway between a human and a machine that operates by means of the acquisition...

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ABE: An Agent-Based Software Architecture for a Multimodal Emotion Recognition Framework

J. Gonzalez-Sanchez, M. E. Chavez-Echeagaray, R. Atkinson, W. Burleson. Arizona State University, USA   Abstract The computer's ability to recognize human emotional states given physiological signals is gaining in popularity to create empathetic systems such as learning environments, health care systems and videogames. Despite that, there are few frameworks,...

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Predicting student emotions resulting from appraisal of its feedback

Paul Salvador Invented. The Institute of Scientific and Industrial Research, Osaka University, Japan   Abstract Many researchers have shown the effectiveness of affective ITS for supporting student learning. Support provided to students is usually presented through pedagogical agents capable of expressing emotions through facial expressions, gestures and synthesized speech. Dialogue content is...

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Smartphones Get Emotional: Mind Reading Images and Reconstructing the Neural Sources

Michael Kai Petersen, Carsten Stahlhut, Arkadiusz Stopczynski, Jakob Eg Larsen, and Lars Kai Hansen. DTU Informatics, Cognitive Systems. Technical University of Denmark, Building 321, DK-2800 Kgs. Lyngby, Denmark Abstract Combining a wireless EEG headset with a smartphone offers new opportunities to capture brain imaging data reflecting our everyday social behavior in a...

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A smartphone interface for a wireless EEG headset with real-time 3D reconstruction

Arkadiusz Stopczynski, Jakob Eg Larsen, Carsten Stahlhut, Michael Kai Petersen, and Lars Kai Hansen. DTU Informatics, Cognitive Systems, Technical University of Denmark, Building 321, DK-2800 Kgs. Lyngby, Denmark   Abstract We demonstrate a fully functional handheld brain scanner consisting of a low-cost 14-channel EEG headset with a wireless connection to a smartphone, enabling...

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