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Ricardo Andres Chavarriaga Lozano

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Related publications (138)

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

Discriminative Channel Selection Method for the Recognition of Anticipation related Potentials from CCD estimated Cortical Activity

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

Recognition of brain states and subject's intention from electroencephalogram (EEG) is a challenging problem for brain-computer interaction. Signals recorded from each of EEG electrodes represent noisy spatio-temporal overlapping of activity arising from v ...

2009

OPPORTUNITY: Towards opportunistic activity and context recognition systems

Daniel Roggen, Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Yu Fang

Opportunistic sensing allows to efficiently collect information about the physical world and the persons behaving in it. This may mainstream human context and activity recognition in wearable and pervasive computing by removing requirements for a specific ...

2009

Anticipation based Brain-Computer Interfacing (aBCI)

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

Anticipation increases the efficiency of daily tasks by partial advance activation of neural substrates involved in it. Previous off-line studies have shown the possibility of exploiting this activation for a Brain-Computer Interface (BCI) using electroenc ...

2009

Fast Recognition of Anticipation Related Potentials

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

Anticipation increases the efficiency of daily tasks by partial advance activation of neural substrates involved in it. Here we develop a method for the recognition of electroencephalogram (EEG) correlates of this activation as early as possible on single ...

Institute of Electrical and Electronics Engineers2009

Is there a geometric module for spatial orientation? Insights from a rodent navigation model

Wulfram Gerstner, Angelo Arleo, Thomas Strösslin, Ricardo Andres Chavarriaga Lozano

Modern psychological theories of spatial cognition postulate the existence of a geometric module for reorientation. This concept is derived from experimental data showing that in rectangular arenas with distinct landmarks in the corners, disoriented rats o ...

American Psychological Association2009

EEG Error-related Potentials Detection with a Bayesian Filter

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Pierre Bessière

Several studies describe evoked EEG potentials elicited when a subject is aware of an erroneous decision either taken by him or by an external interface. This paper try to detect Error-related potentials (ErrP) elicited when a human user want to monitors a ...

IEEE2009

EEG-based Recognition of Covert Attentional Shifts

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Catherine Brandner

Attentional shifts precede most of the perceptual processes, and therefore their recognition may constitute an interesting process for both the study of human perception as well as the design of EEG-based Brain Computer Interfaces (BCI). Several studies ha ...

2008

Characterizing the EEG Correlates of Exploratory Behavior

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Nicolas Bourdaud

This study aims to characterize the EEG correlates of exploratory behavior. Decision making in an uncertain environment raises a conflict between two opposing needs: gathering information about the environment and exploiting this knowledge in order to opti ...

Institute of Electrical and Electronics Engineers2008

Non-Invasive Brain-Machine Interaction

Pierre Ferrez, Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Eileen Lew Yi Lee

The promise of Brain-Computer Interfaces (BCI) technology is to augment human capabilities by enabling interaction with computers through a conscious and spontaneous modulation of the brainwaves after a short training period. Indeed, by analyzing brain ele ...

World Scientific Publishing2008

Characterizing EEG correlates of exploratory behavior

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Nicolas Bourdaud

This study aims at characterizing the EEG correlates of exploratory behavior. Decision making in an uncertain environment gives rise to a conflict between two opposing needs: gathering information about the environment and exploiting this knowledge in orde ...

2008

Non-Invasive Brain-Actuated Interaction

Pierre Ferrez, Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Eileen Lew Yi Lee

Springer Verlag2007

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

Wulfram Gerstner, Thomas Strösslin, Ricardo Andres Chavarriaga Lozano

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

A computational model of parallel navigation systems in rodents

Wulfram Gerstner, Thomas Strösslin, Ricardo Andres Chavarriaga Lozano

Several studies in rats support the idea of multiple neural systems competing to select the best action for reaching a goal or food location. Locale navigation strategies, necessary for reaching invisible goals, seem to be mediated by the hippocampus and t ...

Humana Press2005

Robust self-localisation and navigation based on hippocampal place cells

Wulfram Gerstner, Thomas Strösslin, Ricardo Andres Chavarriaga Lozano

A computational model of the hippocampal function in spatial learning is presented. A spatial representation is incrementally acquired during exploration. Visual and self-motion information is fed into a network of rate-coded neurons. A consistent and stab ...

Elsevier2005

Spatial learning and navigation in the rat : a biomimetic model

Ricardo Andres Chavarriaga Lozano

Animals behave in different ways depending on the specific task they are required to solve. In certain cases, if a cue marks the goal location, they can rely on simple stimulusresponse associations. In contrast, other tasks require the animal to be endowed ...

EPFL2005

Modelling Path Integrator Recalibration Using Hippocampal Place cells

Wulfram Gerstner, Thomas Strösslin, Ricardo Andres Chavarriaga Lozano

The firing activities of place cells in the rat hippocampus exhibit strong correlations to the animal's location. External (e.g. visual) as well as internal (proprioceptive and vestibular) sensory information take part in controlling hippocampal place fiel ...

Springer-Verlag GmbH2005

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