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Related publications (30)

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An EEG-based brain-computer interface for gait training

José del Rocio Millán Ruiz, Dong Liu, Kyuhwa Lee

This work presents an electroencephalography (EEG)-based Brain-computer Interface (BCI) that decodes cerebral activities to control a lower-limb gait training exoskeleton. Motor imagery (MI) of flexion and extension of both legs was distinguished from the ...

2017

Behavioral and cortical effects during attention driven brain-computer interface operations in spatial neglect: A feasibility case study

José del Rocio Millán Ruiz, Robert Leeb, Luca Tonin, Huaijian Zhang

During the last years, several studies have suggested that Brain-Computer Interface (BCI) can play a critical role in the field of motor rehabilitation. In this case report, we aim to investigate the feasibility of a covert visuospatial attention (CVSA) dr ...

Frontiers Research Foundation2017

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

Ricardo Andres Chavarriaga Lozano, Inaki Asier Iturrate Gil

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 ...

2017

A Framework for Collaborative Curation of Neuroscientific Literature

Sean Lewis Hill, Christian O'Reilly, Elisabetta Iavarone

Large models of complex neuronal circuits require specifying numerous parameters, with values that often need to be extracted from the literature, a tedious and error-prone process. To help establishing shareable curated corpora of annotations, we have dev ...

Frontiers Research Foundation2017

Flexible Cylindrical Neural Probe With Graphene Enhanced Conductive Polymer For Multi-Mode Bci Applications

Yi Zhang

This paper reports a novel flexible neural probe fabricated by cylindrical substrates lithography for Brain-Computer-Interface (BCI) applications. The electrode sites were patterned on the cylindrical surface to acquire high space selectivity and the micro ...

Ieee2017

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

Heading for new shores! Overcoming pitfalls in BCI design

Ricardo Andres Chavarriaga Lozano

Research in brain-computer interfaces has achieved impressive progress towards implementing assistive technologies for restoration or substitution of lost motor capabilities, as well as supporting technologies for able-bodied subjects. Notwithstanding this ...

Taylor & Francis Ltd2017

A Brain-Controlled Exoskeleton with Cascaded Event-Related Desynchronization Classifiers

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Dong Liu, Kyuhwa Lee, Dong Liu

This paper describes a brain-machine interface for the online control of a powered lower-limb exoskeleton based on electroencephalogram (EEG) signals recorded over the user’s sensorimotor cortical areas. We train a binary decoder that can distinguish two d ...

Elsevier2017

A Regression-based User Calibration Framework for Real-time Gaze Estimation

Jean-Philippe Thiran, Hua Gao, Nuri Murat Arar

Eye movements play a very significant role in human computer interaction (HCI) as they are natural and fast, and contain important cues for human cognitive state and visual attention. Over the last two decades, many techniques have been proposed to accurat ...

Institute of Electrical and Electronics Engineers2017

SpotCaliper: Fast Wavelet-Based Spot Detection with Accurate Size Estimation

Michaël Unser, Daniel Sage, John Paul Ward, Zsuzsanna Püspöki

Motivation: SpotCaliper is a novel wavelet-based image-analysis software providing a fast automatic detection scheme for circular patterns (spots), combined with the precise estimation of their size. It is implemented as an ImageJ plugin with a friendly us ...

Oxford University Press2016