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Ricardo Andres Chavarriaga Lozano

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Related publications (138)

Page 4 of 7

Decoding Neural Correlates of Cognitive States to Enhance Driving Experience

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Huaijian Zhang, Lucian Andrei Gheorghe, Sareh Saeedi, Zahra Khaliliardali, Marija Uscumlic, Ruslan Aydarkhanov

Modern cars can support their drivers by assessing and autonomously performing different driving maneuvers based on information gathered by in-car sensors. We propose that brain–machine interfaces (BMIs) can provide complementary information that can ease ...

2018

Long-Term Stable Control of Motor-Imagery BCI by a Locked-in User Through Adaptive Assistance

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

Performance variation is one of the main challenges that BCIs are confronted with, when being used over extended periods of time. Shared control techniques could partially cope with such a problem. In this paper, we propose a taxonomy of shared control app ...

Institute of Electrical and Electronics Engineers2017

An Iterative Framework for EEG-based Image Search: Robust Retrieval with Weak Classifiers

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

We revisit the framework for brain-coupled image search, where the Electroencephalography (EEG) channel under rapid serial visual presentation protocol is used to detect user preferences. Extending previous works on the synergy between content-based image ...

Public Library of Science2013

Brain-actuated gait trainer with visual and proprioceptive feedback

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

Objective. Brain-machine interfaces (BMIs) have been proposed in closed-loop applications for neuromodulation and neurorehabilitation. This study describes the impact of different feedback modalities on the performance of an EEG-based BMI that decodes moto ...

Institute of Physics2017

Workshops of the Fifth International Brain-Computer Interface Meeting: Defining the Future

Ricardo Andres Chavarriaga Lozano, Robert Leeb

The Fifth International Brain-Computer Interface (BCI) Meeting met on 3rd June 2013 at the Asilomar Conference Grounds, Pacific Grove, California, USA. The conference included 19 workshops covering topics in brain-computer interface and brain-machine inter ...

2014

Competition between cue response and place response: A model of rat navigation behaviour

Wulfram Gerstner, Ricardo Andres Chavarriaga Lozano, Thomas Strösslin

Different neural systems are involved in animal navigation depending on the type of task. Experimental studies support the idea that the hippocampus is necessary to learn a spatial representation required to navigate toward hidden goals (place response), w ...

Taylor & Francis2005

Detecting Anomalies to Improve Classification Performance in Opportunistic Sensor Networks

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

Anomalies and changes in sensor networks which are deployed for activity recognition may abate the classification performance. Detection of anomalies followed by compensatory reaction would ameliorate the performance. This paper introduces a novel approach ...

2011

Prediction of Command Delivery Time for BCI

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Inaki Asier Iturrate Gil, Tom Edward Carlson, Sareh Saeedi

One of the challenges in using brain computer interfaces over extended periods of time is the uncertainty in the system. This uncertainty can be due to the user's internal states, the non stationarity of the brain signals, or the variation of the class dis ...

2014

Towards Implementation of Motor Imagery using Brain Connectivity Features

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Huaijian Zhang

This study aims to explore modulation of the connectivity pattern when people perform left hand versus right hand motor imagery and probe the feasibility of adopting connectivity information to discriminate these tasks. Nine subjects were recorded with 16- ...

2014

Superposition model for steady state visually evoked potentials

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano

Steady State Visually Evoked Potentials (SSVEP) are signals produced in the occipital part of the brain when someone gaze a light flickering at a fixed frequency. These signals have been used for Brain Machine Interfacing (BMI), where one or more stimuli a ...

2016

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

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, 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

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

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

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

Minimal model of strategy switching in the plus-maze navigation task

Ricardo Andres Chavarriaga Lozano

2010

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

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

Robust Activity Recognition Combining Anomaly Detection and Classifier Retraining

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

Activity recognition systems based on body-worn motion sensors suffer from a decrease in performance during the deployment and run-time phases, because of probable changes in the sensors (e.g. displacement or rotation), which is the case in many real-life ...

2013

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

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