Neurological evidence linguistic processes precede perceptual simulation in conceptual processing

Max Louwerse and Sterling Hutchinson. Department of Psychology, Institute for Intelligent Systems, University of Memphis, Memphis,

Automatic detection of EEG artefacts arising from head movements using EEG and gyroscope signals

Simon O’Reganc, Stephen Faul, William Marianne. Department of Electrical and Electronic Engineering, University College Cork, Ireland

How about taking a low-cost, small, and wireless EEG for a walk?

Psychophysiology. Debener1, Falk Minow, Reiner Emkes, Katharina Gandras, Maarten de Vos   Abstract To build a

Engaging the Brain

Panos Mavros, Richard Coyne, Jennifer Roe, Peter Aspinall. The University of Edinburgh Abstract We canvas issues in using

Empirical Evaluation of the Emotiv EPOC BCI Headset for the Detection of Mental Actions

Grant S. Taylor, Christina Schmidt. University of Central Florida, Institute for Simulation & Training Abstract This study

Evaluation of SSVEP as passive feedback for improving the performance of Brain Machine Interfaces

Development of a Mobile EEG-Based Feature Extraction and Classification System for Biometric Authentication

Juris Kļonovs, Christoffer Kjeldgaard Petersen. Aalborg University Copenhagen Abstract The aim of this work is to investigate

A User Study of Visualization Effectiveness Using EEG and Cognitive Load

E. W. Anderson, K. C. Potter, L. E. Matzen, J. F. Shepherd, G. A. Preston,

Detecting biosignals with the Emotiv EPOC headset : a review

  Detecting biosignals with the Emotiv EPOC headset : a review from iMALorg

Theta rhythm (emotion) and the alpha rhythm (attention) E.E.G.

Dr. Jordi Mas i Manjon   Abstract theta rhythm, in a non-pathological and in normal

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

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

Brain-Computer Interface Based on Generation of Visual Images

Pavel Bobrov, Alexander Frolov, Charles Cantor, Irina Fedulova, Mikhail Bakhnyan, Alexander Zhavoronkov   Abstract This

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

IpsiHand: Direct Re-coupling of Intention and Movement

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

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,

Automatic detection of EEG artefacts arising from head movements using gyroscopes

S. O’Regan. Dept. of Electr. Eng., Univ. Coll. Cork, Cork, Ireland   Abstract The need for

P-300 Rhythm Detection Using ANFIS Algorithm and Wavelet Feature Extraction in EEG Signals

Juan Manuel Ramírez-Cortes, Vicente Alarcon-Aquino, Gerardo Rosas-Cholula, Pilar Gomez-Gil, Jorge Escamilla-Ambrosio. World Congress on Engineering and Computer

Using Brain-Computer Interfaces to detect human satisfaction in human-robot interaction

Ehsan Turkish Esfahan. Department of Mechanical Engineering, University of California Riverside, USA Abstract This article discusses

TEDTalks – Tan Le: A headset that reads your brainwaves

Click here to see the video on TEDTalks

Toward Natural Selection in Virtual Reality

A. Sherstyuk ; D. Vincent ; A. Treskunov. IEEE Computer Graphics and Applications  (Volume:30 ,  Issue:

Emochat: Emotional instant messaging with the Epoc headset

Emochat: Emotional instant messaging with the Epoc headset from fwrigh2

Achieving Remote Presence using a Humanoid Robot Controlled by a NonInvasive BCI Device

NeuroPhone: Brain-Mobile Phone Interface using a Wireless EEG Headset

Matthew K. Mukerjee. Dartmouth College, Hanover, NH, USA Abstract Neural signals are everywhere just like mobile

Analysis of a commercial EEG device for the control of a robot arm

G. N. Ranky ; Biomed. Eng. Dept., New Jersey Inst. of Technol., Newark, NJ, USA

Inc. Reality Bites!

The scientists at Emotiv have done the impossible: created a brain-wave-reading headset that lets you