An application-based taxonomy for brain–computer interfaces

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Human-machine interfaces (HMIs) can be used to decode a user's motor intention to control an external device. People that suffer from motor disabilities, such as spinal cord injury, can benefit from the uses of these interfaces. While many solutions can be ...

The Stepped Pressure Equilibrium Code (SPEC) (Hudson et al 2012 Phys. Plasmas 19 112502) has been successful in the construction of equilibria in 3D configurations that contain a mixture of flux surfaces, islands and chaotic magnetic field lines. In this m ...

Despite the growing interest in brain-machine interface (BMI)-driven neuroprostheses, the translation of the BMI output into a suitable control signal for the robotic device is often neglected. In this article, we propose a novel control approach based on ...

Near the end of life, health declines, mortality risk increases, and curative care is replaced by uninsured long-term care, accelerating the fall in wealth. Whereas standard explanations emphasize inevitable aging processes, we propose a complementary clos ...

Room temperature ionic liquids are salts which are molten at or around room temperature without any added solvent or solution. In bulk they exhibit glass like dependence of conductivity with temperature as well as coupling of structural and transport prope ...

This work aims at corroborating the importance and efficacy of mutual learning in motor imagery (MI) brain–computer interface (BCI) by leveraging the insights obtained through our participation in the BCI race of the Cybathlon event. We hypothesized that, ...

Origami shape transformation is dictated by predefined folding patterns and their folding sequence. The working principle of robotic origami is based on the same principle: we design quasi-two-dimensional tiles and connecting hinges and define and program ...

Every year in Europe 1.5 million patients suffer a new stroke. Despite the further developments in acute therapy with nationwide stroke units, thrombolysis, thrombectomy and post-acute neurorehabilitation, only a small proportion of patients recover to a s ...

Objectives. Recent studies have started to explore the implementation of brain–computer interfaces (BCI) as part of driving assistant systems. The current study presents an EEG-based BCI that decodes error-related brain activity. Such information can be us ...

As a result of improved understanding of brain mechanisms as well as unprecedented technical advancement in neural recording methods and computer technology, it is now possible to translate large-scale brain signals into movement intentions in real time. S ...

Recently, several studies have started to explore covert visuospatial attention as a control signal for brain–computer interfaces (BCIs). Covert visuospatial attention represents the ability to change the focus of attention from one point in the space with ...

Providing adaptive shared control for Brain- Computer Interfaces (BCIs) can result in better performance while reducing the user’s mental workload. In this respect, online estimation of accuracy and speed of command delivery are important factors. This stu ...

Multimodal dialogue systems integrate advanced (often spoken) language technologies within human-computer interaction methods. Such complex systems cannot be designed without extensive human expertise and systematic design guidelines taking into account th ...

An application-based taxonomy for brain–computer interfaces

Chat with Graph Search

Human-machine interface for two-dimensional steering control with the auricular muscles

Editorial: Getting Neuroprosthetics Out of the Lab: Improving the Human-Machine Interactions to Restore Sensory-Motor Functions

On the non-existence of stepped-pressure equilibria far from symmetry

The Role of the Control Framework for Continuous Teleoperation of a Brain-Machine Interface-Driven Mobile Robot

Closing down the shop: Optimal health and wealth dynamics near the end of life

Nanocapillary confinement of imidazolium based ionic liquids

The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users

Polymers at the Interface with Biology

A reconfigurable interactive interface for controlling robotic origami in virtual environments

The importance of neuronal networks for motor rehabilitation after a stroke

EEG-based decoding of error-related brain activity in a real-world driving task

Virtual reality based Brain-Machine-Interface for Sensori-Motor and Social experiments with Primates

Time-Dependent Approach for Single Trial Classification of Covert Visuospatial Attention

Real-time Prediction of Fast and Slow Delivery of Mental Commands in a Motor Imagery BCI: An Entropy-based Approach

Design of multimodal dialogue-based systems

Calculation of Lightning-Induced Voltages on Distribution Networks: a New Interface Between the LIOV code and EMTP-RV