Advances in Human-Computer Interaction

Using Brain Waves to Control Computers and Machines


Publishing date
24 May 2013
Status
Published
Submission deadline
04 Jan 2013

1Harvard Medical School, Children's Hospital Boston, Boston, MA 02115, USA

2MEG Center, Eberhard Karls University of Tübingen, 72076 Tübingen, Germany; Neuroimaging Laboratory, Center for Mind/Brain Sciences (CIMeC), University of Trento, 38123 Mattarello, Italy

3Magnetoencephalography (MEG) Laboratory, Martinos Imaging Center at Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA

4Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, 72074 Tübingen, Germany

5Laboratory of Medical Informatics, School of Medicine, Aristotle University of Thessaloniki, 54123 Thessaloniki, Greece


Using Brain Waves to Control Computers and Machines

Description

When interacting with computers or machines, users almost always use their hands. This kind of human-computer interaction, however, severely limits human's freedom to communicate with the machine. Over the years, many attempts have been made to develop technologies that include other information channels used for communication, for example, speech or gestures to make human-computer interaction (HCI) more intuitive. Recent advances in cognitive neuroscience and neuroimaging technologies allow the direct interface of machines with the human brain. This ability is made possible through brain-computer interfaces (BCIs) and special sensors that can monitor physical processes that occur within the human brain. In BCIs, users explicitly manipulate their brain activity instead of using motor movements in order to produce brain waves that can be used to control computers or machines. The development of efficient BCIs and its implementation in hybrid systems that combine well-established methods in HCI and brain control will not only transform the way we perform everyday tasks, but also improve the life quality of patients with physical disabilities, especially to those who suffer from devastating neuromuscular injuries and neurodegenerative diseases leading to paralysis and inability to communicate.

We invite authors to submit original research and review articles that explore all aspects of BCIs. Potential topics, include, but are not limited to:

  • BCI applications for patients with permanent and situational physical or neurological disabilities, such as paralyzed patients with spinal cord injuries, stroke patients, and autistics
  • BCI applications for healthy users with emphasis on games, entertainment computing, and emotion recognition
  • Neuroplasticity induced by brain-computer interactions
  • Sensing technologies, such as invasive BCI sensors and EEG-based navigation systems suitable for BCI applications
  • Data-processing techniques for mapping the raw signals and related features to high-level concepts; artifact rejection techniques suitable for BCI applications
  • Advances in animal BCIs research
  • Software tools for BCIs research

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/ahci/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2013
  • - Article ID 802063
  • - Editorial

Using Brain Waves to Control Computers and Machines

Christos Papadelis | Christoph Braun | ... | Panagiotis Bamidis
  • Special Issue
  • - Volume 2013
  • - Article ID 369425
  • - Review Article

Controlling Assistive Machines in Paralysis Using Brain Waves and Other Biosignals

Paulo Rogério de Almeida Ribeiro | Fabricio Lima Brasil | ... | Surjo Raphael Soekadar
  • Special Issue
  • - Volume 2013
  • - Article ID 641074
  • - Research Article

Towards Brain-Computer Interface Control of a 6-Degree-of-Freedom Robotic Arm Using Dry EEG Electrodes

Alexander Astaras | Nikolaos Moustakas | ... | Aristides Gogoussis
  • Special Issue
  • - Volume 2013
  • - Article ID 187024
  • - Review Article

A Review of Hybrid Brain-Computer Interface Systems

Setare Amiri | Reza Fazel-Rezai | Vahid Asadpour
  • Special Issue
  • - Volume 2012
  • - Article ID 185320
  • - Research Article

A Combination of Pre- and Postprocessing Techniques to Enhance Self-Paced BCIs

Raheleh Mohammadi | Ali Mahloojifar | Damien Coyle
  • Special Issue
  • - Volume 2012
  • - Article ID 127627
  • - Research Article

Source Detection and Functional Connectivity of the Sensorimotor Cortex during Actual and Imaginary Limb Movement: A Preliminary Study on the Implementation of eConnectome in Motor Imagery Protocols

Alkinoos Athanasiou | Chrysa Lithari | ... | Panagiotis D. Bamidis
  • Special Issue
  • - Volume 2012
  • - Article ID 578295
  • - Research Article

Objective and Subjective Evaluation of Online Error Correction during P300-Based Spelling

Perrin Margaux | Maby Emmanuel | ... | Mattout Jérémie
  • Special Issue
  • - Volume 2012
  • - Article ID 124728
  • - Research Article

BCI Could Make Old Two-Player Games Even More Fun: A Proof of Concept with “Connect Four”

Emmanuel Maby | Margaux Perrin | ... | Jérémie Mattout
Advances in Human-Computer Interaction
 Journal metrics
Acceptance rate6%
Submission to final decision36 days
Acceptance to publication-
CiteScore1.390
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