BACS

BACS – Bayesian Approach to Cognitive Systems

Integrated Project conducted under the Thematic Priority: Information Society Technologies – Sub-topic: Cognitive Systems

Project duration: 01/01/2006 – 28/02/2010
Contract no: FP6-IST-027140

Partners

Description

Our role in the BACS project was focused on EEG correlates of cognitive signals using Bayesian techniques. It is our aim to exploit real-time single trial recognition of these processes for a rich interaction with intelligent devices.  This results in the development of semi-autonomous  systems, in which an intelligent device (i.e., a Bayesian-based artificial cognitive system) is able to interact with a human user who provides corrective signals in order to improve the controller’s performance (i.e. Human in-the-loop). To attain this goal, we should be able to recognize EEG signals that convey useful information related to the system’s performance. Such information reflects user’s cognitive states such as error-recognition, anticipation of relevant events, alarm, as well as feedback related-psychophysical responses.

 

 

Error awareness in semi-autonomous systems

We focus the research on charaterizing error-related EEG potentials in interactive applications (Chavarriaga and Millán, 2010). Moreover, several experiments in conjunction with ETHZ, Zürich towards the design of artificial Bayesian controllers that reliably integrate Human-generated monitoring signals for navigation. This experiments include several user studies oriented to optimize the methods used to interpret the human monitoring signals, as well as the decisions made by the autonomous robot (Perrin et al., 2008, 2010). Experiments using multiple feedback modalities, as well as real and simulated robots were successfully performed.

Anticipation of future events

Following our work on characterization of anticipation-related potentials, we developed probabilistic techniques that achieve fast, reliable classification in single-trials. Furthermore, a first on-line implementation of an anticipation-based Brain-Computer interface was successfully implemented (Garipelli et al., 2008, 2009).

Decision making – Exploratory behavior

We study EEG correlates of exploratory behavior in decision making tasks. Following previous works using fMRI, we study human decision-making in a gambling task using several slot machines. In this task the subject’s decisions are taken either to obtain the highest payoff (i.e. exploitation) or to gather more information of the environment and improve future predictions (e.g. exploration).

We have shown that it is possible to discriminate between exploratory and exploitative behavior from EEG signals (Bourdaud et al., 2009). This was achieved by building behavioral models of decision making and novel classification algorithms for asynchronous EEG correlates. Furthermore, we explore new techniques for the analysis of these signals (Chavarriaga et al., 2008).


JOURNAL ARTICLES

2013

G. Garipelli; R. Chavarriaga; J. d. R. Millán : Single trial analysis of slow cortical potentials: A study on anticipation related potentials; Journal of Neural Engineering. 2013. DOI : 10.1088/1741-2560/10/3/036014.
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D. Roggen; P. Lukowicz; A. Ferscha; J. d. R. Millán; G. Tröster et al. : Opportunistic human activity and context recognition; Computer -IEEE Computer Society-. 2013. DOI : 10.1109/MC.2012.393.
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R. Chavarriaga; H. Bayati; J. d. R. Millán : Unsupervised adaptation for acceleration-based activity recognition: Robustness to sensor displacement and rotation; Personal and Ubiquitous Computing. 2013. DOI : 10.1007/s00779-011-0493-y.
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2011

Kurz M., Gerold H., Ferscha A., Calatroni A., Roggen D., Tröster G., Sagha H., Chavarriaga R., Millán J.d.R., Bannach D., Kunze K., Lukowicz P. (2011). The OPPORTUNITY framework and data processing ecosystem for opportunistic activity and context recognition. J. Sensors, Wireless Communications & Control, 1(2):102–125.Detailed record
N. Bourdaud; R. Chavarriaga; J. d. R. Millán : Bayesian detection of asynchronous EEG patterns; International Journal of Bioelectromagnetism. 2011.
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2010

R. Chavarriaga; J. d. R. Millán : Context-Aware Brain-Computer Interfaces; PerAda Magazine. 2010. DOI : 10.2417/2201006.003009.
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R. Chavarriaga; J. d. R. Millán : Learning from EEG Error-related Potentials in Noninvasive Brain-Computer Interfaces; IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2010. DOI : 10.1109/TNSRE.2010.2053387.
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X. Perrin; R. Chavarriaga; F. Colas; R. Siegwart; J. d. R. Millán : Brain-coupled Interaction for Semi-autonomous Navigation of an Assistive Robot; Robotics and Autonomous Systems. 2010. DOI : 10.1016/j.robot.2010.05.010.
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2009

E. Chevallier; L. Ledercq; J. Lelong; R. Chatagnon : Dynamic noise modeling at roundabouts; Applied Acoustics. 2009. DOI : 10.1016/j.apacoust.2008.09.009.
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G. Garipelli; R. Chavarriaga; J. d. R. Millán : Fast Recognition of Anticipation Related Potentials; IEEE Transactions on Biomedical Engineering. 2009. DOI : 10.1109/TBME.2008.2005486.
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2008

N. Bourdaud; R. Chavarriaga; F. Galán; J. d. R. Millán : Characterizing the EEG Correlates of Exploratory Behavior; IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2008. DOI : 10.1109/TNSRE.2008.926712.
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CONFERENCE PAPERS

2013

Sagha H., Calatroni A., Millán J.d.R., Roggen D., Tröster G., Chavarriaga R. (2013). Robust activity recognition combining anomaly detection and classifier retraining. 10th Conf. Body Sensor Networks. Cambridge, USA.
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2011

H. Sagha; S. T. Digumarti; J. d. R. Millán; R. Chavarriaga; A. Calatroni et al. : Benchmarking classification techniques using the Opportunity human activity dataset. 2011. IEEE International Conference on Systems, Man, and Cybernetics, Anchorage, AK, USA, October 9-12, 2011. p. 36-40.
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R. Chavarriaga; H. Sagha; J. d. R. Millán : Ensemble creation and reconfiguration for activity recognition: An information theoretic approach.. 2011. IEEE Int Conf Systems, Man, and Cybernetics (IEEE SMC 2011), Anchorage, Alaska, USA, October 9-12, 2011. p. 2761-2766.
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H. Sagha; J. d. R. Millán; R. Chavarriaga : Detecting and rectifying anomalies in body sensor networks. 2011. International Conference on Body Sensor Networks 2011 (BSN11), Dallas, Texas, USA, May 23-25, 2011.Detailed recordFull text

H. Bayati; J. d. R. Millán; R. Chavarriaga : Unsupervised adaptation to on-body sensor displacement in acceleration-based activity recognition. 2011. IEEE International Symposium on Wearable Computers, ISWC 2011, San Francisco, June 12-15, 2011. p. 71-78. DOI : 10.1109/ISWC.2011.11. Five Best Paper Nominees.
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G. Garipelli; R. Chavarriaga; J. d. R. Millán : Single Trial Recognition of Anticipatory Slow Cortical Potentials: The Role of Spatio-Spectral Filtering. 2011. 5th International Conference on Neural Engineering, Cancun, Mexico, April 27-May 1, 2011.
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H. Sagha; J. d. R. Millán; R. Chavarriaga : Detecting Anomalies to Improve Classification Performance in Opportunistic Sensor Networks. 2011. Seventh IEEE International Workshop on Sensor Networks and Systems for Pervasive Computing, Seattle, WA, USA, March 21-25,2011.
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X. Perrin; F. Colas; R. Chavarriaga; C. Pradalier; J. d. R. Millán et al. : Learning User Habits for Semi-Autonomous Navigation Using Low Throughput Interfaces. 2011. IEEE Int Conf Systems, Man, and Cybernetics (IEEE SMC 2011), Anchorage, Alaska, USA, October 9-12, 2011.
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2010

Conference Papers

K. Förster; A. Biasiucci; R. Chavarriaga; J. d. R. Millán; D. Roggen et al. : On the use of brain decoded signals for online user adaptive gesture recognition systems. 2010. Pervasive 2010 The Eighth International Conference on Pervasive Computing, Helsinki, Finland, May 17-20, 2010. Detailed recordFull text

2009

Conference Papers

J.-M. Bollon; R. Chavarriaga; J. d. R. Millán; P. Bessière : EEG Error-related Potentials Detection with a Bayesian Filter. 2009. p. 702-705. DOI : 10.1109/NER.2009.5109393.
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G. Garipelli; R. Chavarriaga; F. Cincotti; F. Babiloni; J. d. R. Millán : Discriminative Channel Selection Method for the Recognition of Anticipation related Potentials from CCD estimated Cortical Activity. 2009. 2009 IEEE Machine Learning for Signal Processing Workshop, Grenoble, France, September 2-4, 2009. p. 375-380.
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G. Garipelli; R. Chavarriaga; J. d. R. Millán : Anticipation based Brain-Computer Interfacing (aBCI). 2009. 4th International IEEE/EMBS Conference on Neural Engineering, Antalya, TURKEY, Apr 29-May 02, 2009.
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D. Roggen; K. Förster; A. Calatroni; T. Holleczek; Y. Fang et al. : OPPORTUNITY: Towards opportunistic activity and context recognition systems. 2009. Third IEEE WoWMoM Workshop on Autonomic and Opportunistic Communications, Kos, Grece, June 15 2009.
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2008

G. Garipelli; F. Galán; R. Chavarriaga; P. W. Ferrez; E. Lew et al. : The use of brain-computer interfacing for ambient intelligence. 2008. AmI07 Workshops, Darmstadt, Germany, November 7-10, 2007. p. 268-285. DOI : 10.1007/978-3-540-85379-4.
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G. Garipelli; R. Chavarriaga; J. d. R. Millán : Recognition of Anticipatory Behavior from Human EEG. 2008. In proceedings, 4th Intl. Brain-Computer Interface Workshop and Training Course. p. 128-133.
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X. Perrin; R. Chavarriaga; C. Ray; R. Siegwart; J. d. R. Millán : A Comparative Psychophysical and EEG Study of Different Feedback Modalities for HRI. 2008. 3rd ACM/IEEE Conf on Human-Robot Interaction (HRI08), Amsterdam, Netherlands.
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R. Chavarriaga; F. Galán; J. d. R. Millán : Asynchronous detection and classification of oscillatory brain activity. 2008. 16 European Signal Processing Conference.
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R. Chavarriaga; F. Galán; J. Palix; C. Brandner; J. d. R. Millán : EEG-based Recognition of Covert Attentional Shifts. 2008. 6th Forum of European Neuroscience, Geneva, July 2008.
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N. Bourdaud; R. Chavarriaga; F. Galán; J. d. R. Millán : Characterizing EEG correlates of exploratory behavior. 2008. 6th Forum of European Neurosciences, Geneva, July 2008.
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2007

R. Chavarriaga; P. W. Ferrez; J. d. R. Millán : To Err Is Human: Learning from Error Potentials in Brain-Computer Interfaces. 2007. 1st International Conference on Cognitive Neurodynamics (ICCN 2007).
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X. Perrin; R. Chavarriaga; R. Siegwart; J. d. R. Millán : Bayesian Controller for a Novel Semi-Autonomous Navigation Concept. 2007. 3rd European Conference on Mobile Robots (ECMR 2007), Freiburg, Germany.
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F. Galán; J. Palix; R. Chavarriaga; P. W. Ferrez; E. Lew et al. : Visuo-Spatial Attention Frame Recognition for Brain-Computer Interfaces. 2007. 1st International Conference on Cognitive Neurodynamics (ICCN 2007), Shanghai, China, Nov 2007.
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REPORTS

2007

R. Chavarriaga; P. W. Ferrez; J. d. R. Millán : To Err Is Human: Learning from Error Potentials in Brain-Computer Interfaces. 2007.
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