Concept

Brain-reading

Related publications (105)

Psychosocial and Ethical Aspects in Non-Invasive EEG-Based BCI Research — A Survey Among BCI Users and BCI Professionals

In this paper, the results of a pilot interview study with 19 subjects participating in an EEG-based non-invasive brain–computer interface (BCI) research study on stroke rehabilitation and assistive technology and of a survey among 17 BCI professionals are ...

Springer2014

Rewards-Driven Control of Robot Arm by Decoding EEG Signals

Aude Billard, José del Rocio Millán Ruiz, Ajay Kumar Tanwani

Decoding the user intention from non-invasive EEG signals is a challenging problem. In this paper, we study the feasibility of predicting the goal for controlling the robot arm in self-paced reaching movements, i.e., spontaneous movements that do not requi ...

2014

Rewards-Driven Control of Robot Arm by Decoding EEG Signals

Aude Billard, José del Rocio Millán Ruiz, Ajay Kumar Tanwani

Ieee2014

Rewards-driven control of robot arm by decoding EEG signals

Aude Billard, José del Rocio Millán Ruiz, Ajay Kumar Tanwani

IEEE2014

Detecting Cognitive States for Enhancing Driving Experience

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Huaijian Zhang, Lucian Andrei Gheorghe, Zahra Khaliliardali

Intelligent cars exploit environmental information to support drivers by providing extra information and assisting complex maneouvers. They can also take into account the internal state of the driver by means of decoding cognition-related brain activity. H ...

Graz University of Technology Publishing House2013

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

Solaiman Shokur

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 ...

EPFL2013

Brain-machine interface control using broadband spectral power from local field potentials

Michael Christoph Gastpar

Recent progress in brain-machine interfaces (BMIs) has shown tremendous improvements in task complexity and degree of control. In particular, closed-loop decoder adaptation (CLDA) has emerged as an effective paradigm for both improving and maintaining the ...

IEEE2013

Brain-Machine Interfaces: Progress in Large Clinical Validation

José del Rocio Millán Ruiz, Robert Leeb, Serafeim Perdikis, Luca Tonin, Tom Edward Carlson, Andrea Biasiucci

Brain-machine interfaces (BMI) have largely been demonstrated in laboratory conditions involving, mainly, healthy users. We have recently carried out a series of studies with a substantial number of motor-disabled end-users operating different brain-contro ...

2013

Shared electrophysiology mechanisms of body ownership and motor imagery

Olaf Blanke, Nathaniel Evans

Although we feel, see, and experience our hands as our own (body or hand ownership), recent research has shown that illusory hand ownership can be induced for fake or virtual hands and may useful for neuroprosthetics and brain-computer interfaces. Despite ...

Academic Press Inc Elsevier Science2013

On the Need for Both Internal and External Context Awareness for Reliable BCIs

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Tom Edward Carlson, Sareh Saeedi

In this paper we argue that for brain-computer interfaces (BCIs) to be used reliably for extended periods of time, they must be able to adapt to the user’s evolving needs. This adaptation should not only be a function of the environmental (external) contex ...

2013

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