Emotive関連の公表論文・文献リスト

公表論文・文献リスト

Emotivの開発キットを使用した実験・研究が世界中で行われています。今までに公表された論文および文献のリストを下に整理しておきます。レファレンスとしてご利用ください。

2012年

WANG, S., ESFAHANI, E., SUNDARARAJAN, V.
"Evaluation of SSVEP as passive feedback for improving the performance of Brain Machine Interfaces"
Proc. IDETC/CIE 2012.

Research in brain-computer interfaces have focused primarily on motor imagery tasks such as those involving movement of a cursor or other objects on a computer screen. In such applica-tions, it is important to detect when the user is interested in moving an object and when the user is not active in this task. This paper evaluates the steady state visual evoked potential (SSVEP) as a feedback mechanism to confirm the mental state of the user during motor imagery. These potentials are evoked when a subject looks at a flashing objects of interest. Four dif-ferent experiments are conducted in this paper. Subjects are asked to imagine the movement of flashing object in a given direction. If...
http://www.me.ucr.edu/~etarkeshesfahan/ASME2012.pdf

RAMI N. KHUSHABAA, LUKE GREENACREB, SARATH KODAGODAA, JORDAN LOUVIEREB, SANDRA BURKEB, GAMINI DISSANAYAKE
"Choice Modeling and the Brain: A Study on the Electroencephalogram (EEG) of Preferences"
J. Expert Systems with Applications, 15 May 2012.

Choice conjures the idea of a directed selection of a desirable action or object, motivated by internal likes and dislikes, or other such preferences. However, such internal processes are simply the domain of our human physiology. Understanding the physiological processes of decision making across a variety of contexts is a central aim in decision science as it has a great potential to further progress decision research. As a pilot study in this field, this paper explores the nature of decision making by examining the associated brain activity, Electroencephalogram (EEG), of people to understand how the brain responds while undertaking choices designed to elicit the subjects’ preferences....
http://dx.doi.org/10.1016/j.eswa.2012.04.084

2011年

PAVEL BOBROV, ALEXANDER FROLOV, CHARLES CANTOR, IRINA FEDULOVA, MIKHAIL BAKHNYAN, ALEXANDER ZHAVORONKOV
"Brain-Computer Interface Based on Generation of Visual Images"
PLoS ONE 6(6): e20674 (2011). doi:10.1371/journal.pone.0020674

This paper examines the task of recognizing EEG patterns that correspond to performing three mental tasks: relaxation and

imagining of two types of pictures: faces and houses. The experiments were performed using two EEG headsets: BrainProducts ActiCap and Emotiv EPOC. The Emotiv headset becomes widely used in consumer BCI application allowing for conducting large-scale EEG experiments in the future. Since classification accuracy significantly exceeded the level of random classification during the first three days of the experiment with EPOC headset, a control experiment was performed on the fourth day using ActiCap. The control experiment has shown that utilization of high-quality research equipment...
http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0020674

A. STOPCZYNSKI, J. E. LARSEN, C. STAHLHUT, M. K. PETERSEN, & L. K. HANSEN
"A smartphone interface for a wireless EEG headset with real-time 3D reconstruction"
Affective Computing and Intelligent Interaction (ACII 2011)

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 minimally invasive EEG monitoring in naturalistic settings. The smartphone provides a touch-based interface with real-time brain state decoding and 3D reconstruction
http://www2.imm.dtu.dk/pubdb/views/publication_details.php?id=6123

O. SOURINA, Y. LIU

"A Fractal-based Algorithm of Emotion Recognition from EEG using Arousal-valence model"
In Proc. Biosignals 2011, Rome, 26-29 Jan, pp.209-214, 2011.

Emotion recognition from EEG could be used in many applications as it allows us to know the “inner” emotion regardless of the human facial expression, behaviour, or verbal communication. In this paper, we proposed and described a novel fractal dimension (FD) based emotion recognition algorithm using an Arousal-Valence emotion model. FD values calculated from the EEG signal recorded from the corresponding brain lobes are mapped to the 2D emotion model. The proposed algorithm allows us to recognize emotions that could be defined by arousal and valence levels. Only 3 electrodes are needed for the emotions recognition. Higuchi and box-counting algorithms...
http://www3.ntu.edu.sg/home/eosourina/Papers/OSBIOSIGNALS_66_CR.pdf

M. K. PETERSEN, C. STAHLHUT, A. STOPCZYNSKI, J. E. LARSEN, & L. K. HANSEN
"Smartphones get emotional: mind reading images and reconstructing the neural sources"
1st workshop on machine learning for affective computing (MLAC) at the Affective Computing and Intelligent Interaction (ACII 2011)

Combining a 14 channel neuroheadset with a smartphone to capture and process brain imaging data, we demonstrate the ability to distinguish among emotional responses reflected in different scalp potentials when viewing pleasant and unpleasant pictures compared to neutral content. Clustering independent components across subjects we are able to remove artifacts and identify common sources of synchronous brain activity, consistent with earlier findings based on conventional EEG equipment. Applying a Bayesian approach to reconstruct the neural sources not only facilitates differentiation of emotional responses but may also provide an intuitive interface for interacting with a 3D rendered model of...
http://www2.imm.dtu.dk/pubdb/views/publication_details.php?id=6124

Emotiv Experimenter, An experimentation and mind-reading

application for the Emotiv EPOC, Princeton University 2011

MICHAEL ADELSON

This report describes the development and features of

Experimenter, an application based on the EEG capabilities of the

Emotiv EPOC headset. As a research tool, Experimenter allows a

variety of experiments based on classic stimulus-presentation

paradigms to be run using the Emotiv. Unlike most EEG setups,

however, Experimenter not only records data but also attempts

online analysis and classification of the incoming data stream.

With the proper experimental setup, then, Experimenter can be used

as a simple mind-reading application. Experiment and application

design, sample procedures, classification techniques, results, and

technical details are discussed.

http://compmem.princeton.edu/experimenter/

Vol. 6, No. 2 (2011) 107 – 133. (in press)

P. INVENTADO, R. LEGASPI, M. SUAREZ, M. NUMAO

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 important as it contains information

that will help the student learn new information, further

understand concepts or correct misconceptions. Although these

interventions are based on existing theories, there are still

cases when feedback may not fit students as they are very diverse

and can be in very different contexts. One very important aspect

to consider is how students appraise the feedback given by an

ITS....

http://emotiv.com/researchers/www.apsce.net/ICCE2010/papers/c1/sho

rt%20paper/C1SP165.pdf

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

Recognition Framework 9th Working IEEE/IFIP Conference on Software

Architecture (WICSA), 187-193, 2011

GONZALEZ-SANCHEZ, J., CHAVEZ-ECHEAGARAY, M.E., ATKINSON, R.

BURLESON, W

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,

libraries, architectures, or software tools, which allow systems

developers to easily integrate emotion recognition into their

software projects. The work reported here offers a first step to

fill this gap in the lack of frameworks and models, addressing:

(a) the modeling of an agent-driven component-based architecture

for multimodal emotion recognition, called ABE, and (b) the use of

ABE to implement a multimodal emotion recognition...

http://dx.doi.org/10.1109/WICSA.2011.32

2010年

P-300 Rhythm Detection Using ANFIS Algorithm and Wavelet Feature

Extraction in EEG Signals, Proceedings of the World Congress on

Engineering and Computer Science Vol 1, 963-968, 2010

JUAN MANUEL RAMíREZ-CORTES, VICENTE ALARCON-AQUINO, GERARDO

ROSAS-CHOLULA, PILAR GOMEZ-GIL, JORGE ESCAMILLA-AMBROSIO

P300 evoked potential is an electroencephalographic (EEG) signal

obtained at the central-parietal region of the brain in response

to rare or unexpected events. In this work, an experiment on the

detection of a P-300 rhythm for potential applications on brain

computer interfaces (BCI) using an Adaptive Neuro Fuzzy algorithm

(ANFIS) is presented. The P300 evoked potential is obtained from

visual stimuli followed by a motor response from the subject. The

EEG signals are obtained with a 14 electrodes Emotiv EPOC headset.

Preprocessing of the signals includes denoising and blind source

separation using an Independent Component Analysis algorithm. The

P300 rhythm is detected...

http://emotiv.com/researchers/www.iaeng.org/publication/IMECS2010/

IMECS2010_pp963-968.pdf

A User Study of Visualization Effectiveness Using EEG and

Cognitive Load, Computer Graphics Forum Proc. of IEEE EuroGraphics

Symposium on Visualization (EuroVis) 30(3) 201

E.W. ANDERSON, K. C. POTTER, L. E. MATZEN, J. F. SHEPHERD, G. A.

PRESTON, C. SILVA

Effectively evaluating visualization techniques is a difficult

task often assessed through feedback from user studies and expert

evaluations. This work presents an alternative approach to

visualization evaluation in which brain activity is passively

recorded using electroencephalography (EEG). These measurements

are used to compare different visualization techniques in terms of

the burden they place on a viewer’s cognitive resources. In this

paper, EEG signals and response times are recorded while users

interpret different representations of data distributions. This

information is processed to provide insight into the cognitive

load imposed on the viewer. This paper describes the design...

http://www.sci.utah.edu/~eranders/

Rehabilitation and Restoration of Hand Control following Stroke

Using Ipsilateral Cortical Physiology, Dissertation, Washington

University in St Louis 2010

SAM B. FOK, RAPHAEL SCHWARTZ, CHARLES D. HOLMES

Stroke and traumatic brain injury (TBI) cause long-term,

unilateral loss of motor control due to brain damage on the

opposing (contralateral) side of the body. Conventional

neurological therapies have been found ineffective in

rehabilitating upper-limb function after stroke. Brain computer

interfaces (BCIs), devices that tap directly into brain signals,

show promise in providing rehabilitation but remain in research.

Also, BCIs cannot work if the target signals have been eliminated

due to injury. Therefore we present a novel BCI, the IpsiHand,

which combines advances in neurophysiology, electronics, and

rehabilitation. Recent studies show that during hand movement,

the...

http://aac-rerc.psu.edu/wordpressmu/RESNA-

SDC/2011/04/27/ipsihand-direct-recoupling-of-intention-and-

movement-washington-university-in-st-louis/

Predicting student emotions resulting from appraisal of ITS

feedback, Research and Practice in Technology Enhanced Learning,

Emotional instant messaging with the Epoc headset, M.S thesis.,

University of Maryland, Baltimore County, 2010, 114 pages; 1488509

WRIGHT, FRANKLIN PIERCE

Interpersonal communication benefits greatly from the emotional

information encoded by facial expression, body language, and tone

of voice, however this information is noticeably missing from

typical instant message communication. This work investigates how

instant message communication can be made richer by including

emotional information provided by the Epoc headset. First, a study

establishes that the Epoc headset is capable of inferring some

measures of affect with reasonable accuracy. Then, the novel

EmoChat application is introduced which uses the Epoc headset to

convey facial expression and levels of basic affective states

during instant messaging sessions. A study compares the

emotionality...

http://www.slideshare.net/fwrigh2/emochat-emotional-instant-

messaging-with-the-epoc-headset

Biosignals with the Emotiv EPOC headset : a review, Université de

Mons, web presentation

CASTERMANS, T

Critical evaluation of collection of biosignals using Emotiv EPOC

http://www.slideshare.net/iMALorg/detecting-biosignals-with-the-

emotiv-epoc-headset-a-review

Theta Rhythm (emotion) and the aphpa rhythm (attention) EEG,

Foundations’s Dr Jordi Mas I Manjon (online 2011)

DR JORDI MAS I MANJON

Extensive studies of EPOC for detection of rolandic and other

rhythms

http://www.archive.org/details/research3&reCache=1

Detecting Biosignals with the Emotiv EPOC headset : a review,

Université de Mons, web presentation

CASTERMANS, T.,

Detection of biosignals with Emotiv EPOC - a critical review

http://www.slideshare.net/iMALorg/detecting-biosignals-with-the-

emotiv-epoc-headset-a-review

ADASTRA project

ANTON ANDREEV

Adastra is a BCI application written in Microsoft C#. Adastra can

work in combination with OpenViBE BCI application. Adastra also

supports native access to Emotiv EPOC. Several machine learning

algorithms are supported including Linear Discriminant Analysis,

Multi - Layer Perceptron and Support Vector Machines

http://code.google.com/p/adastra/

Published Papers

NeuroPhone: brain-mobile phone interface using a wireless EEG

headset. Paper presented at the Proceedings of the second ACM

SIGCOMM workshop on Networking, systems, and applications on

mobile handhelds

CAMPBELL, A., CHOUDHURY, T., HU, S., LU, H., MUKERJEE, M. K.,

RABBI, M., ET AL. (2010).

Neural signals are everywhere just like mobile phones. We propose

to use neural signals to control mobile phones for hands-free,

silent and effortless human-mobile interaction. Until recently,

devices for detecting neural signals have been costly, bulky and

fragile. We present the design, implementation and evaluation of

the NeuroPhone system, which allows neural signals to drive mobile

phone applications on the iPhone using cheap off-the-shelf

wireless electroencephalography (EEG) headsets. We demonstrate a

brain-controlled address book dialing app, which works on similar

principles to P300-speller brain-computer interfaces: the phone

flashes a sequence of photos of contacts from the...

http://emotiv.com/researchers/www.cs.dartmouth.edu/~tanzeem/pubs/n

europhone.pdf

Classification of primitive shapes using brain–computer

interfaces, Computer Aided Design

ESFAHANI, E., SUNDARARAJAN, V.

Brain–computer interfaces (BCIs) are recent developments in

alternative technologies of user interaction. The purpose of this

paper is to explore the potential of BCIs as user interfaces for

CAD systems. The paper describes experiments and algorithms that

use the BCI to distinguish between primitive shapes that are

imagined by a user. Users wear an electroencephalogram (EEG)

headset and imagine the shape of a cube, sphere, cylinder, pyramid

or a cone. The EEG headset collects brain activity from 14

locations on the scalp. The data is analyzed with independent

component analysis (ICA) and the Hilbert–Huang Transform (HHT).

The features of interest are the marginal...

http://dx.doi.org/10.1016/j.cad.2011.04.008

Biofeedback in Virtual Reality Applications and Gaming, University

of Massachusetts Lowell. Introduction to Biosensors. Spring 2011

TOM C. IANCOVICI, SEBASTIAN OSORIO, AND BONIE ROSARIO, JR

Video games and virtual reality, despite their origination over

thirty years ago, have been commonly associated with traditional

input devices. These devices, such as remote controllers,

joysticks, and keyboards, not only lack innovation in this day and

age, but they also do not adequately fit the needs of emerging

virtual reality applications or their users. Biofeedback

techniques, on the other hand, allow a user to have better control

and be more immersed in a virtual world than with current input

devices. EEG-based sensors utilize a user’s brain waves as a

means to directly interact with the virtual environment in ways

that are more natural than physical movement. GSR/HRV-based

sensors allow...

http://dx.doi.org/10.1016/j.cad.2011.04.008

Published Papers

Automatic detection of EEG artefacts arising from head movements,

32nd Annual International Conference of the IEEE EMBS, 2010

SIMON O’ REGAN, STEPHEN FAUL, AND WILLIAM MARNANE

The need for reliable detection of artefacts in raw and processed

EEG is widely acknowledged. In this paper, we present the results

of an investigation into appropriate features for artefact

detection in the REACT ambulatory EEG system. The study focuses on

EEG artefacts arising from head movement. The use of one

generalised movement artefact class to detect movement artefacts

is proposed. Temporal, frequency, and entropy-based features are

evaluated using Kolmogorov- Smirnov and Wilcoxon rank-sum non-

parametric tests, Mutual Information Evaluation Function and

Linear Discriminant Analysis. Results indicate good separation

between normal EEG and artefacts arising from head movement,

providing...

http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5702924

Research Use of Emotiv EPOC, P300 and Emotiv EPOC: Does Emotiv

EPOC capture real EEG?, web blog

EKANAYAKE, H

Critical evaluation of research use of Emotiv EPOC - P300 accuracy

http://neurofeedback.visaduma.info/emotivresearch.htm

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