Publication

Quantification and Reduction of Visual Load during BCI Operation

Related publications (37)

Motor state transitions and Breathing in Brain Machine Interfaces

Bastien Orset

Brain-Machine interfaces aim to create a direct neural link between user's brain and machines. This goal has pushed scientists to investigate a large spectrum of applications in the realm of assistive and rehabilitation technologies. However, despite great ...
EPFL2021

Non-invasive, Brain-controlled Functional Electrical Stimulation for Locomotion Rehabilitation in Individuals with Paraplegia

Mohamed Bouri, Solaiman Shokur, Miguel Nicolelis

Spinal cord injury (SCI) impairs the flow of sensory and motor signals between the brain and the areas of the body located below the lesion level. Here, we describe a neurorehabilitation setup combining several approaches that were shown to have a positive ...
2019

Brain-Computer Interface Racing at the Cybathlon 2016

Brain-computer interfaces measure the electricity produced by the brain and translate it into commands that are sent to a machine. However, it is often difficult to judge how quickly a user will be able to perform a task using a brain-computer interface wi ...
2019

Workshops of the seventh international brain-computer interface meeting: not getting lost in translation

Kyuhwa Lee, Ricardo Andres Chavarriaga Lozano, Anton Nijholt

The Seventh International Brain-Computer Interface (BCI) Meeting was held May 21-25th, 2018 at the Asilomar Conference Grounds, Pacific Grove, California, United States. The interactive nature of this conference was embodied by 25 workshops covering topics ...
TAYLOR & FRANCIS LTD2019

A Multifaceted Approach to Covert Attention Brain-Computer Interfaces

Christoph Schneider

Over the last years, brain-computer interfaces (BCIs) have shown their value for assistive technology and neurorehabilitation. Recently, a BCI-approach for the rehabilitation of hemispatial neglect has been proposed on the basis of covert visuospatial atte ...
EPFL2018

Plug&Play brain-computer interfaces for effective active and assisted living control

José del Rocio Millán Ruiz, Nicolas Mora Parra

Brain–Computer Interfaces (BCI) rely on the interpretation of brain activity to provide people with disabilities with an alternative/augmentative interaction path. In light of this, BCI could be considered as enabling technology in many fields, including A ...
Springer Verlag2017

Workshops of the Sixth International Brain–Computer Interface Meeting: brain–computer interfaces past, present, and future

Ricardo Andres Chavarriaga Lozano, Inaki Asier Iturrate Gil, Anton Nijholt

Brain–computer interfaces (BCI) (also referred to as brain–machine interfaces; BMI) are, by definition, an interface between the human brain and a technological application. Brain activity for interpretation by the BCI can be acquired with either invasive ...
Taylor & Francis Ltd2017

Harnessing prefrontal cognitive signals for brain-machine interfaces

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano

Brain-machine interfaces (BMIs) enable humans to interact with devices by modulating their brain signals. Despite impressive technological advancements, several obstacles remain. The most commonly used BMI control signals are derived from the brain areas i ...
Elsevier2017

Brain-Machine Interfaces: The Perception-Action Closed Loop

José del Rocio Millán Ruiz

A brain-machine interface (BMI) is about transforming neural activity into action and sensation into perception (Figure 1). In a BMI system, neural signals recorded from the brain are fed into a decoding algorithm that translates these signals into motor o ...
2015

Connectivity Analysis of Brain States and Applications in Brain-Computer Interfaces

Huaijian Zhang

Human brain is organized by a large number of functionally correlated but spatially distributed cortical neurons. Cognitive processes are usually associated with dynamic interactions among multiple brain regions. Therefore, the understanding of brain funct ...
EPFL2015

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