Category Archives: Independent Studies

Estimation of Eye Closure Degree Using EEG Sensors and Its Application in Driver Drowsiness Detection

Gang Li and Wan-Young Chung, Department of Electronic Engineering, Pukyong National University, Korea. 2014   Abstract Currently, driver drowsiness detectors using video based technology is being widely studied. Eyelid closure degree (ECD) is the main measure of the video-based methods, however, drawbacks such as brightness limitations and practical hurdles such as distraction of the drivers limits […]

Experimental Art with Brain Controlled Interface

Universal Access in Human-Computer Interaction. Design Methods, Tools, and Interaction Techniques for eInclusion. Tania Fraga, Mauro Pichiliani, Donizetti Louro   Abstract This essay presents experimental computer artworks using Brain Controlled Interface (BCI). It points to a preliminary contextualization and general development emphasizing affective, sensory, poetic and aesthetic experiences intermediated by mindware devices. BCI offers a […]

Consumer neuroscience: Assessing the brain response to marketing stimuli using electroencephalogram (EEG) and eye tracking

Rami N. Khushabaa, Chelsea Wiseb, Sarath Kodagodaa, Jordan Louviereb, Barbara E. Kahnc, Claudia Townsend.   Abstract Application of neuroscience methods to analyze and understand human behavior related to markets and marketing exchange has recently gained research attention. The basic aim is to guide design and presentation of products to optimize them to be as compatible […]

A Low-Cost Point-of-Care Testing System for Psychomotor Symptoms of Depression Affecting Standing Balance

Hindawi Publishing Corporation Depression Research and Treatment Volume 2013 Abstract The World Health Organization estimated that major depression is the fourth most significant cause of disability worldwide for people aged 65 and older, where depressed older adults reported decreased independence, poor health, poor quality of life, functional decline, disability, and increased chronic medical problems. Therefore, the objectives […]

Validation of the Emotiv EPOC® EEG gaming system for measuring research quality auditory ERPs

Nicholas A. Badcock, Petroula Mousikou, Yatin Mahajan, Peter de Lissa, Johnson Thie, Genevieve McArthur. ARC Centre of Excellence in Cognition and its Disorders, Macquarie University, Sydney, NSW, Australia. Department of Psychology, Royal Holloway, University of London, London, United Kingdom. School of Electrical and Information Engineering, University of Sydney, Sydney, NSW, Australia   Abstract Auditory event-related potentials (ERPs) have […]

Choice modeling and the brain: A study on the Electroencephalogram (EEG) of preferences

Rami N. Khushabaa, Luke Greenacreb, Sarath Kodagodaa, Jordan Louviereb, Sandra Burkeb, Gamini Dissanayakea,   Abstract 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 […]

Classification of primitive shapes using brain–computer interfaces

Ehsan Tarkesh Esfahani, V. Sundararajan   Abstract 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 […]

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, TN, USA.   Abstract There is increasing evidence from response time experiments that language statistics and perceptual simulations both play a role in conceptual processing. In an EEG experiment we compared neural activity in cortical regions commonly associated with linguistic […]

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   Abstract Contamination of EEG signals by artefacts arising from head movements has been a serious obstacle in the deployment of automatic neurological event detection systems in ambulatory EEG. In this paper, we present work on categorizing these head-movement artefacts […]

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 low-cost, small, and wireless electroencephalogram (EEG) system suitable for field recordings, we merged consumer EEG hardware with an EEG electrode cap. Auditory oddball data were obtained while participants walked outdoors on university campus. Single-trial P300 classification with linear discriminant analysis […]

Engaging the Brain

Panos Mavros, Richard Coyne, Jennifer Roe, Peter Aspinall. The University of Edinburgh Abstract We canvas issues in using neural imaging via EEG (electroencephalography) to map human responses to spaces. We describe the technology, some experiments by others relevant to architecture, and two of our own studies. One involves testing EEG as a supplement to user preference studies of urban typologies. […]

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 evaluated the detection accuracy of one of the first brain-computer interfaces intended for personal use by normal, healthy users: the Emotiv EPOC. This system allows the user to directly interact with computer software through thoughts alone. The system was evaluated […]

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

Shaocheng Wang, Ehsan Tarkesh Esfahani, Sundararajan V. University of California Riverside   Abstract 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 applications, it is important to detect when the user is interested in moving an object and when the user is not […]

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 the possibilities to build a mobile biometric authentication system based on electroencephalogram (EEG). The objectives of this work include the investigation and identification of the most feasible feature extraction techniques and how these features can be used for authentication purposes. Therefore, we review the relevant literature, conduct several EEG […]

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, C. T. Silva.SCI Institute, University of Utah, USA, Sandia National Laboratories, USA, Utah State Hospital, USA   Abstract 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 […]

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 adults, this rate has been linked to certain psychological activities, known as the rhythm of emotion. The theta and beta rolandic, amending consciously, in training exercises of relaxation and excitement, relaxation is observed during the initial occipital rhythm of 8 […]

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 and processing of EMG signals. This article […]

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, libraries, architectures, or software tools, which allow […]

Brain-Computer Interface Based on Generation of Visual Images

Pavel Bobrov, Alexander Frolov, Charles Cantor, Irina Fedulova, Mikhail Bakhnyan, Alexander Zhavoronkov   Abstract 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 […]

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 important as it contains information that will help […]

IpsiHand: Direct Re-coupling of Intention and Movement

Sam Fok, Raphael Schwartz, Mark Wronkiewicz, Charles Holmes, Jessica Zhang, Nathan Brodell, Thane Somers. Washington University in St. Louis, USA   Abstract 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 […]

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 mobile context. However processing the data on a portable […]

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 minimally invasive EEG monitoring in naturalistic settings. […]

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 reliable detection of head movement artefacts in an ambulatory EEG system has been demonstrated in previous work. In this paper we propose the use of gyroscopes in detecting artefacts in EEG. A collection of features are extracted from the gyroscope […]

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 Science   Abstract 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 […]

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 the use of a brain–computer interface (BCI) to obtain emotional feedback from a human in response to the motion of humanoid robots in collaborative environments. The purpose of this study is to detect the human satisfaction level and use it […]

Toward Natural Selection in Virtual Reality

A. Sherstyuk ; D. Vincent ; A. Treskunov. IEEE Computer Graphics and Applications  (Volume:30 ,  Issue: 2 )   Abstract Here we describe a vision of VR games that combine the best features of gaming and VR: large, persistent worlds experienced in photorealistic settings with full immersion. For example, Figure 1 illustrates a hypothetical immersive VR […]

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

A. Thobbi, R. Kadam, W. Sheng. Laboratory for Advanced Sensing, Computation and Control, Oklahoma State University, USA Abstract This paper presents a platform for „Remote Presence‟ which enables a person to be present at a remote location through the embodiment of a humanoid robot. We specifically propose the use of a humanoid robot since it will endow human like […]