Activity and Context Recognition with Opportunistic Sensor Configurations

Publications

Consortium publications

Journal / Magazine

  • D. Roggen, S. Magnenat, M. Waibel, G. Tröster, Wearable Computing: Designing and Sharing Activity-Recognition Systems Across Platforms, IEEE Robotics and Automation Magazine, 18(2), 2011
  • H. Sagha, H. Bayati, J. Millán, R. Chavarriaga, Online anomaly detection and resilience in classifier ensembles, Pattern Recognition Letters, 34(15), 2013
  • R. Chavarriaga, H. Sagha, A. Calatroni, S. T. Digumarti, G. Tröster, J. Millán, D. Roggen, The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition, Pattern Recognition Lettres, 34(15), 2013
  • A. Ferscha. 20 Years Past Weiser: What's Next?, IEEE Pervasive Computing, 11(1), pp. 52-61, 2012
  • P. Lukowicz, A. Pentland, A. Ferscha. From context awareness to socially aware computing, IEEE Pervasive Computing, 11(1), pp. 32-41, 2012
  • D. Roggen, K. Förster, A. Calatroni, and G. Tröster, The adARC pattern analysis architecture for adaptive human activity recognition systems, Journal of Ambient Intelligence and Humanized Computing, 2011
  • D. Roggen, A. Calatroni, K. Fröster, G. Tröster, P. Lukowicz, D. Bannach, A. Ferscha, M. Kurz, G. Hölzl, H. Sagha, H. Bayati, J. Millán, R. Chavarriaga, Activity recognition in opportunistic sensor environments, Procedia Computer Science, vol 7, pp 173-174, 2011
  • R. Chavarriaga, H. Bayati and J. d. R. Millán. Unsupervised adaptation for acceleration-based activity recognition: Robustness to sensor displacement and rotation, accepted in Personal and Ubiquitous Computing.
  • M. Kurz, G. Hoelzl, A. Ferscha, A. Calatroni, D. Roggen, G. Troester, H. Sagha, R. Chavarriaga, J. Millán, D. Bannach, K. Kunze, P. Lukowicz, The OPPORTUNITY Framework and Data Processing Ecosystem for Opportunistic Activity and Context Recognition, International Journal of Sensors, Wireless Communications and Control. vol. 1, num. 2, p. 102-125, 2012.
  • S. Perdikis, H. Bayati, R. Leeb, J. del R. Millán. Evidence Accumulation in Asynchronous BCI. International Journal of Bioelectromagnetism, to appear
  • C. Holzmann, A. Ferscha: A Framework for Utilizing Qualitative Spatial Relations between Networked Embedded Systems, Pervasive and Mobile Computing, 6(3), pp. 362-381, 2010
  • D. Roggen, C. Lombriser, M. Rossi, and G. Tröster: Titan: An enabling framework for activity-aware “PervasiveApps” in opportunistic personal area networks, EURASIP Journal on Wireless Communications and Networking,
  • R. Chavarriaga, J. del R. Millán, Context-aware brain-computer interfaces, PerAda Magazine, 2010.
  • R. Leeb, H. Sagha, R. Chavarriaga, and J. del R. Millán, A hybrid BCI based on the fusion of EEG and EMG activities, J Neural Eng, 8,025011, 2011
  • P. Zappi, D. Roggen, E. Farella, G. Tröster and L. Benini, Network-level power-performance trade-off in wearable activity recognition: a dynamic sensor selection approach, To appear in ACM Trans. on Embedded Computing Systems
  • Conference / Workshops

    2013

    • H. Sagha, A. Calatroni,  J. d. R. Millán, D. Roggen, G. Tröster, R. Chavarriaga, Robust activitiy recognition combining anomaly detection and classifier retrainng, BSN, MIT, 2013

    2012

    • A. Calatroni, D. Roggen, G. Tröster, Design of an Ecology of Activity-Aware Cells in Ambient Intelligence Environments, in 10th IFAC Symposium on Robot Control, 2012
    • H. Sagha, S. Perdikis, J. d. R. Millán and R. Chavarriaga Lozano. Toward online detection of BCI performance degradation. 3th TOBI workshop, Würzburg, Germany, 2012.
    • O. Baños, A. Calatroni, M. Damas, H. Pomaras and I. Rojas, H. Sagha, J. d. R. Millán, , G. Tröster, R. Chavarriaga and D. Roggen. Kinect=IMU? Learning MIMO Signal Mappings to Automatically Translate Activity Recognition Systems Across Sensor Modalities. Proc. 16th Int Symp on Wearable Computers, pp. 92-99, 2012
    • G. Hölzl, M. Kurz, P. Halbmayer, J. Erhart, M. Matscheko, A. Ferscha, S. Eisl, and J Kaltenleithner, Locomotion@ Location: When the rubber hits the road. 9th International Conference on Autonomic Computing (ICAC2012), San Jose, California, USA, September 2012.
    • G. Hölzl, M. Kurz, A. Ferscha,. Goal oriented opportunistic recognition of high-level composed activities using dynamically configured hidden markov models. In The 3rd International Conference on Ambient Systems, Networks and Technologies (ANT2012), 2012
    • M. Kurz, G. Hölzl, A. Ferscha. Goal-Oriented Opportunistic Sensor Clouds. The 2nd International Symposium on Secure Virtual Infrastructures (DOA-SVI’12), 10-14 Sept 2012, Roma, Italy, Springer Verlag, 2012
    • M. Kurz, G. Hölzl, and Alois Ferscha. Dynamic adaptation of opportunistic sensor configurations for continuous and accurate activity recognition. In Fourth International Conference on Adaptive and Self-Adaptive Systems and Applications (ADAPTIVE2012), July 22-27, Nice, France, July 2012

    2011

    • D. Roggen, A. Calatroni, K. Förster, G. Tröster and P. Lukowicz et al. Activity Recognition in Opportunistic Sensor Environments. The European Future Technologies Conference and Exhibition 2011, 2011.
    • H. Sagha, S. T. Digumarti, J. d. R. Millán, R. Chavarriaga and A. Calatroni, D. Roggen, A. and G. Tröster. Benchmarking classification techniques using the Opportunity human activity dataset. IEEE International Conference on Systems, Man, and Cybernetics, 2011
    • R. Chavarriaga, H. Sagha and J.d.R. Millán. Ensemble creation and reconfiguration for activity recognition: An information theoretic approach. IEEE International Conference on Systems, Man, and Cybernetics, 2011
    • D. Bannach and P. Lukowicz: Integrated tool chain for recording, handling, and utilizing large, multimodal context data sets for context recognition systems, Proc 2nd Workshop on Context-Systems Design, Evaluation and Optimisation (CosDEO 2011), to appear.
    • H. Sagha, J.d.R. Millán, and R. Chavarriaga, Detecting anomalies to improve classification performance in an opportunistic sensor network, 7th IEEE International Workshop on Sensor Networks and Systems for Pervasive Computing (PersSens), 2011.
    • H. Bayati,  J. d. R. Millán, and R. Chavarriaga. Unsupervised adaptation to on-body sensor displacement in acceleration-based activity recognition, Proc 15th IEEE International Symposium on Wearable Computers, 2011
    • H. Sagha,  J. d. R. Millán, and R. Chavarriaga. Detecting and rectifying anomalies in Opportunistic sensor networks. Proc International Conference on Body Sensor Networks, 2011
    • Calatroni, D. Roggen, and G. Tröster, Automatic transfer of activity recognition capabilities between body-worn motion sensors: Training newcomers to recognize locomotion, 8th International Conference on Networked Sensing Systems (INSS), 2011
    • Villalonga, D. Roggen, and G. Tröster, Shaping Sensor Node Ensembles according to their Recognition Performance within a Planning-based Context Framework, 8th International Conference on Networked Sensing Systems (INSS), 2011
    • A. Calatroni, D. Roggen, and G. Tröster. Collection and curation of a large reference dataset for activity recognition. In IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2011
    • M. Kurz, G. Hölzl, A. Ferscha, H. Sagha, R. Chavarriaga, J. Millán: Dynamic Quantification of Activity Recognition Capabilities in opportunistic Systems, 4th Conference on Context Awareness for Proactive Systems (CAPS2011), 2011
    • M . Kurz, G. Hölzl, A. Ferscha, A. Calatroni, D. Roggen, and G. Tröster, Real-time transfer and evaluation of activity recognition capabilities in an opportunistic system, In 3rd International Conference on Adaptive and Self-Adaptive Systems and Applications (ADAPTIVE 2011), pp. 73-78, 2011
    • G. Hölzl. Goal Oriented Opportunistic Sensing, Doctoral Colloquium at the 9th International Conference on Pervasive Computing, 2011
    • G. Hölzl, M. Kurz, A. Ferscha, D. Roggen, A. Calatroni, G. Tröster, R. Chavarriaga, J. Millàn, H. Sagha, P. Lukowicz, D. Bannach. A Framework for Opportunistic Context and Activity Recognition, Adjunct proceedings to the 9th International Conference on Pervasive Computing, 2011

    2010

    • Roggen, A. Calatroni, M. Rossi, T. Holleczek, K. Förster, G. Tröster, P. Lukowicz, Bannach, G. Pirkl, A. Ferscha, J. Doppler, C. Holzmann, M. Kurz, G. Holl, R. Chavarriaga, H. Sagha, H. Bayati, M. Creatura, and J. del R. Millán, Collecting complex activity data sets in highly rich networked sensor environments, Proc. 7th Int Conf on Networked Sensing Systems (INSS), IEEE Computer Society Press, 2010.
    • K. Förster, S. Monteleone, A. Calatroni, D. Roggen, and G. Tröster, Incremental knn classifier exploiting correct - error teacher for activity recognition, Proc. 9th Int Conf on Machine Learning and Applications (ICMLA), 2010.
    • K. Kunze, G. Bahle, P. Lukowicz, and K. Partridge, Can magnetic field sensors replace gyroscopes in wearable sensing applications?, Proc. Int Symp on Wearable Computers (ISWC), pp. 1-4, 2010
    • D. Bannach, K. Kunze, J. Weppner, and P. Lukowicz: Integrated tool chain for recording and handling large, multimodal context recognition data sets, Adjunct Proceedings of the 12th ACM international conference on Ubiquitous computing, 2010, pp. 357358. Available: http://doi.acm.org/10.1145/1864431.1864434
    • G. Bahle, K. Kunze, and P. Lukowicz: On the use of magnetic field disturbances as features for activity recognition with on body sensors, Proc. European Conference on Smart Sensing and Context, Springer, pp. 71-81, 2010
    • A. Manzoor, C. Villalonga, A. Calatroni, H.-L. Truong, D. Roggen, S. Dustdar, G. Tröster. Identifying Important Action Primitives for High Level Activity Recognition. Proc. European Conference on Smart Sensing and Context, Springer, pp. 149-162, 2010.
    • D. Roggen, A. Calatroni, M. Rossi, T. Holleczek, K. Förster, G. Tröster, P. Lukowicz, D. Bannach, G. Pirkl, F. Wagner, A. Ferscha, J. Doppler, C. Holzmann, M. Kurz, G. Holl, R. Chavarriaga, M. Creatura, J. Millán: Walk-through the OPPORTUNITY dataset for activity recognition in sensor rich environments, Adjunct Proceedings of the Eighth International Conference on Pervasive Computing, 2010
    • R. Chavarriaga, J. Millán, H. Sagha, H. Bayati, P. Lukowicz, D. Bannach, D. Roggen, K. Förster, A. Calatroni, G. Tröster, A. Ferscha, M. Kurz, G. Hölzl: Robust activity recognition for assistive technologies: Benchmarking ML techniques, Workshop on Machine Learning for Assistive Technologies at the 24th Annual Conference on Neural Information Processing Systems (NIPS), 2010.
    • M. Kurz, A. Ferscha: Sensor Abstractions for opportunistic Activity and Context Recognition Systems, Proc. 5th European Conference on Smart Sensing and Context (EuroSSC 2010), pp. 135-148, Springer, 2010
    • M. Haslgrübler, C. Holzmann: DarSens: A Framework for Distributed Activity Recognition from Body-Worn Sensors, Proc. Fifth International Conference on Body Area Networks (BodyNets'10), 2010
    • M. Kurz: Goal-Driven opportunistic Sensing, Doctoral Colloquium at 12th ACM International Conference on Ubiquitous Computing, 2010.
    • M. Kurz, A. Ferscha, A. Calatroni, D. Roggen, G. Tröster: Towards a Framework for opportunistic Activity and Context Recognition, Workshop on Context awareness and information processing in opportunistic ubiquitous systems at 12th ACM International Conference on Ubiquitous Computing, 2010. Available: http://www.wearable.ethz.ch/resources/UbicompWorkshop_OpportunisticUbiqu...
    • Calatroni, D. Roggen, and G. Tröster, A methodology to use unknown new sensors for activity recognition by leveraging sporadic interactions with primitive sensors and behavioral assumptions, Workshop on Context awareness and information processing in opportunistic ubiquitous systems at 12th ACM International Conference on Ubiquitous Computing, 2010. Available: http://www.wearable.ethz.ch/resources/UbicompWorkshop_OpportunisticUbiqu...
    • H. Sagha, J. del R. Millán, and R. Chavarriaga: A probabilistic approach to handle missing data for multi-sensory activity recognition, Workshop on Context Awareness and Information Processing in Opportunistic Ubiquitous Systems at 12th ACM International Conference on Ubiquitous Computing, 2010. Available: http://www.wearable.ethz.ch/resources/UbicompWorkshop_OpportunisticUbiqu...
    • D. Roggen, K. Förster, A. Calatroni, A. Bulling, and G. Tröster, On the issue of variability in labels and sensor configurations in activity recognition systems, Best Practice in Activity Recognition Workshop at the 8th Int Conf on Pervasive Computing, 2010
    • R. Chavarriaga, A. Biasiucci, K. Förster, D. Roggen, G. Tröster, J. del R. Millán. Adaptation of Hybrid Human-Computer Interaction Systems using EEG Error-Related Potentials. Proc 32nd Int Conf IEEE Engineering in Medicine and Biology Society (EMBC'10), 2010.
    • R. Leeb, H. Sagha, R. Chavarriaga, J. del R.  Millán. Multimodal Fusion of Muscle and Brain Signals for a Hybrid-BCI. Proc 32nd Int Conf of the IEEE Engineering in Medicine and Biology Society (EMBC'10), 2010.
    • R. Chavarriaga, J. del R. Millán. Context-Aware Brain-Computer Interfaces. PerAda Magazine, 2010.
    • P. Lukowicz, G. Pirkl, D. Bannach, F. Wagner, A. Calatroni, K. Förster, T. Holleczek, M. Rossi, D. Roggen, G. Tröster, J. Doppler, C. Holzmann, A. Riener, A. Ferscha, and R. Chavarriaga, Recording a complex, multi modal activity data set for context recogntion, Proc. 1st CoSDEO Workshop on Context-Systems Design, Evaluation and Optimisation at ARCS, 2010.
    • A. Biasiucci, R. Chavarriaga, K. Förster, D. Roggen, G. Tröster, and J. del R. Millán, Human awareness to interface errors improves HCI performance, Proc. of the 4th Int. Conf. on Cognitive Systems (CogSys), 2010.
    • A. Biasiucci, R. Chavarriaga, K. Förster, D. Roggen, G. Tröster, and J. del R. Millán, On the use of error related potentials for online user adaptive systems, Proc. Tools for Brain-Computer Interaction (TOBI) Workshop, 2010.
    • K. Förster, A. Biasiucci, R. Chavarriaga, J. del R. Millàn, D. Roggen, and G. Tröster, On the use of brain decoded signals for online user adaptive gesture recognition systems, 8th Int. Conf. on Pervasive Computing, 2010.

    2009

    • K. Kunze, P. Lukowicz, K. Partridge, and B. Begole, “Which way am i facing: Inferring horizontal device orientation from an accelerometer signal, Proc. of Int. Symp. on Wearable Computers (ISWC). 2009
    • A. Calatroni, C. Villalonga, D. Roggen, G. Tröster, Context Cells: Towards Lifelong Learning in Activity Recognition Systems, 4th European Conference on Smart Sensing and Context (EuroSSC), 2009
    • K. Förster, P. Brem, D. Roggen, and G. Tröster, Evolving discriminative features robust to sensor displacement for activity recognition in body area sensor networks, Proc. 5th Int. Conf. on Intelligent Sensors, Sensor Networks, and Information Processing (ISSNIP). 2009
    • A. Ferscha, K. Zia, LifeBelt: Silent Directional Guidance for Crowd Evacuation, Int. Symp. Wearable Computers, 2009
    • K. Förster, D. Roggen, G. Tröster, Unsupervised Classifier Self-Calibration through Repeated Context Occurences: Is there Robustness against Sensor Displacement to Gain?, Int. Symp. Wearable Computers, 2009
    • C. Villalonga, D. Roggen, C. Lombriser, P. Zappi, and G. Tröster, Bringing quality of context into wearable human activity recognition systems, First International Workshop on Quality of Context (QuaCon), 2009
    • D. Roggen, K. Förster, A. Calatroni, A. Bulling, T. Holleczek, G. Tröster, P. Lukowicz, G. Pirkl, D. Bannach, A. Ferscha, A. Riener, C. Holzmann, R. Chavarriaga, José del R. Millán, OPPORTUNITY: activity and context awareness in opportunistic open-ended sensor environments, European Future Technologies Conference, 2009
    • D. Roggen, K. Förster, A. Calatroni, T. Holleczek, Y. Fang, G. Tröster, P. Lukowicz, G. Pirkl, D. Bannach, K. Kunze, A. Ferscha, C. Holzmann, A. Riener, R. Chavarriaga, José del R. Millán, OPPORTUNITY: Towards opportunistic activity and context recognition systems, Third IEEE WoWMoM Workshop on Autonomic and Opportunistic Communications, 2009
    • A. Ferscha, A. Riener, Pervasive Adaptation in Car Crowds, First International Workshop on User-Centric Pervasive Adaptation (UCPA) at MOBILWARE 2009, Berlin, Germany, Springer Berlin, Heidelberg, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (LNICST), pp. 6, April 27, 2009
    • C. Holzmann, M. Haslgrübler, A Self-Organizing Approach to Activity Recognition with Wireless Sensors, 4th Int. Workshop on Self-Organizing Systems (IWSOS), 2009.
    • J. Doppler, G. Holl, A. Ferscha, M. Franz, C. Klein, M. dos Santos Rocha, A. Zeidler, Variability in foot-worn sensor placement for activity recognition, Int. Symp. Wearable Computers, 2009.

    Pre-publications

    Below are listed publications from consortium members before the start of the project, but closely related to it.

    • Chavarriaga, R.; Ferrez, P. W. &  Millán, J.del R., To Err Is Human: Learning from Error Potentials in Brain-Computer Interfaces, Int Conf Cognitive Neurodynamics,2007
    • Ferrez, P. W. &  Millán, J. del R. Error-Related EEG Potentials Generated During Simulated Brain-Computer Interaction IEEE Trans Biomed Eng, 55, 923-929, 2008
    • Chavarriaga, R.; Galán, F. &  Millán, J. del R. Asynchronous detection and classification of oscillatory brain activity European signal processing conference, Eusipco, 2008
    • Buttfield, A.; Ferrez, P. W. &  Millán, J.del R. Towards a Robust BCI: Error Potentials and Online Learning, IEEE Trans Neural Syst Rehabil Eng, 2006, 14, 164-168
    • Ferrez, P. W. & del R. Millán, J. You Are Wrong!---Automatic Detection of Interaction Errors from Brain Waves Proceedings of the 19th International Joint Conference on Artificial Intelligence, 2005
    • Millán, J. del R. On the Need for On-Line Learning in Brain-Computer Interfaces, Proceedings of the International Joint Conference on Neural Networks, 2004

     

 

Contact

Do not hesitate to contact the consortium.

About

We develop opportunistic activity recognition systems: goal-oriented sensor assemblies spontaneously arise and self-organize to achieve a common activity and context recognition. We develop algorithms and architectures underlying context recognition in opportunistic systems.

Newsletter

Subscribe to our newsletter for regular project updates.

web design by ybresson.com
© 2017 OPPORTUNITY Consortium
The information on this website does not represent the opinion of the European Community, and is provided "as is". No guarantee or warranty is given that the information is fit for any particular purpose. The user uses the information at its sole risk and liability.