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José del Rocio Millán Ruiz

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Publications associées (230)

Analysis of Anticipation Related Potentials for Brain Computer Interaction

José del Rocio Millán Ruiz, Gangadhar Garipelli

Anticipation is a mental process during which a person actively engages in a phase required for the sensory perception and execution of the optimal actions at the arrival of the relevant future events. Since this process occurs before the execution of an i ...

EPFL2011

Single trial detection of spatial covert visual attention for BCI

José del Rocio Millán Ruiz, Luca Tonin, Robert Leeb

This paper discusses a time-dependent classification approach for single trial recognition of spatial covert visual attention for Brain–Computer Interface. Covert visual attention is a natural and intuitive mental task that does not require any external st ...

2011

Brain-Computer Interfaces for Space Applications

José del Rocio Millán Ruiz

Recent experiments have shown the possibility to use the brain electrical activity to directly control the movement of robots. Such a kind of brain–computer interface is a natural way to augment human capabilities by providing a new interaction link with t ...

Springer Verlag2011

Cortical Current Density vs. Surface EEG for Event-Related Potential-based Brain-Computer Interface

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Mohit Kumar Goel

In this paper we use the cortical current density based inverse solution to classify Event Related Potential, in particular for error-related potential elicited during Brain-Computer Interface experiment. We selected discriminant cortical sources for compa ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Minimizing calibration time of single-trial recognition of error potentials in brain-computer interfaces

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Inaki Asier Iturrate Gil

One of the main problems of both synchronous and asynchronous EEG-based BCIs is the need of an initial calibration phase before the system can be used. This phase is necessary due to the high non-stationarity of the EEG, since it changes between sessions a ...

2011

Tools for brain-computer interaction: a general concept for a hybrid BCI

José del Rocio Millán Ruiz, Luca Tonin, Michele Tavella, Robert Leeb

The aim of this work is to present the development of a hybrid Brain-Computer Interface (hBCI) which combines existing input devices with a BCI. Thereby, the BCI should be available if the user wishes to extend the types of inputs available to an assistive ...

Frontiers Research Foundation2011

Single Trial Recognition of Anticipatory Slow Cortical Potentials: The Role of Spatio-Spectral Filtering

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Gangadhar Garipelli

Single trial recognition of slow cortical potentials (SCPs) from full-band EEG (FbEEG) faces different challenges to classical EEG such as noisy, high magnitude (~±100µV) infra slow oscillations (ISO) with f

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Brain-coupled Interaction for Semi-autonomous Navigation of an Assistive Robot

Roland Siegwart, Ricardo Andres Chavarriaga Lozano, Xavier Perrin, José del Rocio Millán Ruiz

This paper presents a novel semi-autonomous navigation strategy designed for low throughput interfaces. A mobile robot (e.g. intelligent wheelchair) proposes the most probable action, as analyzed from the environment, to a human user who can either accept ...

Elsevier2010

Learning from EEG Error-related Potentials in Noninvasive Brain-Computer Interfaces

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz

We describe error-related potentials generated while a human user monitors the performance of an external agent and discuss their use for a new type of Brain-Computer Interaction. In this approach, single trial detection of error-related EEG potentials is ...

Institute of Electrical and Electronics Engineers2010

The Role of Shared-Control in BCI-based Telepresence

José del Rocio Millán Ruiz, Luca Tonin, Michele Tavella, Serafeim Perdikis, Robert Leeb

This paper discusses and evaluates the role of shared control approach in a BCI-based telepresence framework. Driving a mobile device by using human brain signals might improve the quality of life of people suffering from severely physical disabilities. By ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

A Probabilistic Approach to Handle Missing Data for Multi-Sensory Activity Recognition

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Hesam Sagha

Context and activity recognition in complex scenarios is prone to data loss due to disconnections, sensor failure, transmission problems, etc. This generally implies significant changes in the recognition performance. In the case of classifier fusion fault ...

2010

On The Road To A Neuroprosthetic Hand: A Novel Hand Grasp Orthosis Based on Functional Electrical Stimulation

José del Rocio Millán Ruiz, Michele Tavella, Heather Christine Klug, Robert Leeb, Miguel Joaquin Gubler

To patients who have lost the functionality of their hands as a result of a severe spinal cord injury or brain stroke, the development of new techniques for grasping is indispensable for reintegration and independency in daily life. Functional Electrical S ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Adaptation of Hybrid Human-Computer Interaction Systems using EEG Error-Related Potentials

Daniel Roggen, Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Andrea Biasiucci

Performance improvement in both humans and artificial systems strongly relies in the ability of recognizing erroneous behavior or decisions. This paper, that builds upon previous studies on EEG error-related signals, presents a hybrid approach for human co ...

IEEE Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, NJ 08855-1331 USA2010

Combining brain-computer interfaces and assistive technologies: state-of-the-art and challenges

José del Rocio Millán Ruiz, Robert Leeb

In recent years, new research has brought the field of electroencephalogram (EEG)-based brain–computer interfacing (BCI) out of its infancy and into a phase of relative maturity through many demonstrated prototypes such as brain-controlled wheelchairs, key ...

2010

Invasive or Noninvasive: Understanding Brain-Machine Interface Technology

José del Rocio Millán Ruiz

Institute of Electrical and Electronics Engineers2010

Multimodal Fusion of Muscle and Brain Signals for a Hybrid-BCI

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Hesam Sagha, Robert Leeb

Practical Brain-Computer Interfaces (BCIs) for disabled people should allow them to use all their remaining functionalities as control possibilities. Sometimes these people have residual activity of their muscles, most likely in the morning when they are n ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

On the use of brain decoded signals for online user adaptive gesture recognition systems

Daniel Roggen, Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Andrea Biasiucci

Activity and context recognition in pervasive and wearable computing ought to continuously adapt to changes typical of open-ended scenarios, such as changing users, sensor characteristics, user expectations, or user motor patterns due to learning or aging. ...

2010

Collecting complex activity data sets in highly rich networked sensor environments

Daniel Roggen, Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Hamidreza Bayati, Hesam Sagha, Marco Creatura

We deployed 72 sensors of 10 modalities in 15 wireless and wired networked sensor systems in the environment, in objects, and on the body to create a sensor-rich environment for the machine recognition of human activities. We acquired data from 12 subjects ...

2010

Towards Natural Non-Invasive Hand Neuroprostheses for Daily Living

José del Rocio Millán Ruiz, Michele Tavella, Robert Leeb

In this paper we show how healthy subjects can operate a non-invasive asynchronous BCI for controlling a FES neuroprosthesis and manipulate objects to carry out daily tasks in ecological conditions. Both, experienced and novel subjects proved to be able to ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Augmenting Information from Brain-Computer Interfaces through Bayesian Plan Recognition

José del Rocio Millán Ruiz

For severely disabled people, Brain-Computer Interfaces (BCIs) may provide the means to regain mobility and manipulation capabilities. However, information obtained from current BCIs is uncertain and of limited bandwidth and resolution. This paper presents ...

2009

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