Recherche

Afficher tous les résultats pour

Accueil

Personne

José del Rocio Millán Ruiz

Cette personne a quitté l’EPFL

À propos
Confidentialité
Mentions légales

Graph Chatbot

Publications associées (228)

Page 7 sur 12

Improved Recognition of Error Related Potentials through the use of Brain Connectivity Features

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Huaijian Zhang, Lucian Andrei Gheorghe, Mohit Kumar Goel

Brain error processing plays a key role in goal-directed behavior and learning in human brain. Directed transfer function (DTF) on EEG signal brings unique features for discrimination between correct and error cases in braincomputer interface (BCI) system. ...

Ieee2012

Brain-Controlled Wheelchairs: A Robotic Architecture

José del Rocio Millán Ruiz, Tom Edward Carlson

Independent mobility is core to being able to perform activities of daily living by oneself. However, powered wheelchairs are not an option for a large number of people who are unable to use conventional interfaces, due to severe motor–disabilities. Non-in ...

Institute of Electrical and Electronics Engineers2013

Asynchronous Non-Invasive Brain-Actuated Control of an Intelligent Wheelchair

José del Rocio Millán Ruiz, Eileen Lew Yi Lee

In this paper we present further results of our asynchronous and non-invasive BMI for the continuous control of an intelligent wheelchair. Three subjects participated in two experiments where they steered the wheelchair spontaneously, without any external ...

2009

Brain-Machine Interfaces: Progress in Large Clinical Validation

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

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

EEG-based lower-limb movement onset decoding: Continuous classification and asynchronous detection

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Mohamed Bouri, Dong Liu, Kyuhwa Lee, Fumiaki Iwane

Brain-machine interfaces (BMIs) have been used to incorporate the user intention to trigger robotic devices by decoding movement onset from electroencephalography (EEG). Active neural participation is crucial to promote brain plasticity thus to enhance the ...

2018

Endogenous Control of Powered Lower-Limb Exoskeleton

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

We present an online decoding method for controlling a powered lower-limb exoskeleton using endogenously generated electroencephalogram (EEG) signals of human users. By performing a series of binary classifications, users control the exoskeleton in three d ...

Springer Int Publishing Ag2017

A Brain-Actuated Wheelchair: Asynchronous and Non-Invasive Brain-Computer Interfaces for Continuous Control of Robots

José del Rocio Millán Ruiz, Pierre Ferrez, Eileen Lew Yi Lee

Objective: To assess the feasibility and robustness of an asynchronous and non-invasive EEG-based Brain-Computer Interface (BCI) for continuous mental control of a wheelchair. Methods: In experiment 1 two subjects were asked to mentally drive both a real a ...

Elsevier2008

The BCI Competition III: Validating Alternative Approaches to Actual BCI Problems

José del Rocio Millán Ruiz

A Brain-Computer Interface (BCI) is a system that allows its users to control external devices with brain activity. Although the proof-of-concept was given decades ago, the reliable translation of user intent into device control commands is still a major c ...

2006

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

Felix Christian Bauer, José del Rocio Millán Ruiz, Luca Tonin

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 ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Kinect=IMU? Learning MIMO Signal Mappings to Automatically Translate Activity Recognition Systems Across Sensor Modalities

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

We propose a method to automatically translate a pre-existing activity recognition system, devised for a source sensor domain S, so that it can operate on a newly discovered target sensor domain T , possibly of different modality. First, we use MIMO system ...

2012

BCI Telepresence: A Six Patient Evaluation

José del Rocio Millán Ruiz, Robert Leeb, Luca Tonin, Tom Edward Carlson

In this paper we present the results of six motor-disabled patients manoeuvring a telepresence robot via a BCI. Remarkably, although five of the patients had never visited the location where the telepresence robot was operating, they achieved similar perfo ...

2012

Steering Timing Prediction in a Driving Simulator Task

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Lucian Andrei Gheorghe

In this paper we present the preliminary results of a pioneering attempt to predict the timing of steering actions in a driving task from non-invasive EEG measurements. The experiment took place with the subjects driving a car at a constant speed on a simu ...

2013

Feel the BCI vibe – vibrotactile BCI feedback

José del Rocio Millán Ruiz, Robert Leeb

Controlling a device via a brain-computer interface (BCI) requires the participant to look and to split the attention between the device and the BCI feedback, which is partly contradictory. Therefore, a stimulation system based on 6 coin-motors is develope ...

Graz University of Technology Publishing House2013

Detecting and rectifying anomalies in body sensor networks

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

Activity recognition using onbody sensors are prone to degradation due to changes on sensor readings. The changes can occur because of degradation or alteration in the behavior of the sensor with respect to the others. In this paper we propose a method whi ...

2011

An Approach to a Phase Model for Steady State Visually Evoked Potentials

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano

One of the most used signals in Brain Machine Interfaces (BMI) is the Steady State Visually Evoked Potentials (SSVEP). In a SSVEP-based BMI, a visual stimulus that flickers in a constant frequency is presented to the user, and the system has to detect if t ...

Springer International Publishing Ag2017

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

Very High Frequency Oscillations (VHFO) as a Predictor of Movement Intentions

José del Rocio Millán Ruiz

Gamma band (30-80 Hz) oscillations arising in neuronal ensembles are thought to be a crucial component of the neural code. Recent studies in animals suggest a similar functional role for very high frequency oscillations (VHFO) in the range 80-200Hz. Since ...

2006

Iterative EEG-based Natural Image Search under RSVP

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Marija Uscumlic

This work extends previous studies on using EEG decoding for automatic image retrieval. We propose an iterative way to integrate the information obtained from the EEG decoding and image processing methods. In the light of real-world BCI applications, we de ...

Graz University of Technology Publishing House2013

Detection of Movement Related Cortical Potential: Effects of Causal vs. Non-Causal Processing

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano

Movement Related Cortical Potentials (MRCP) have been the subject of numerous studies. They accompany many self-initiated movements and this makes them a good candidate for incorporation in BCI paradigms. In this work we propose a novel experimental protoc ...

2016

Benchmarking classification techniques using the Opportunity human activity dataset

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

Human activity recognition is a thriving research field. There are lots of studies in different sub-areas of activity recognition proposing different methods. However, unlike other applications, there is lack of established benchmarking problems for activi ...

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