Activity and Context Recognition with Opportunistic Sensor Configurations

Workshop on Robust machine learning techniques for human activity recognition

IEEE conf on Systems, Man and Cybernetics 2011

October 9-12, Anchorage, USA


This workshop will provide a venue to discuss robust machine learning techniques for human activity recognition using body worn sensors, as well as the need for proper benchmarking datasets and tools



  • The workshop agenda is now available.
  • Unfortunately, due to unforeseen circumstances Dr Ploetz won't be able to attend the workshop. We deeply apologize for this inconvenience.
  • Prof Paul Lukowicz had to cancel his appearence. His talk will be given by Dr. Kamil Kloch, senior researcher in his team and deputy coordinator of the EU FP7 project SOCIONICAL.


Human activity recognition can be used to devise assistants that provide proactive support by exploiting the knowledge of the user’s context, determined from sensors located on-body.  The design and development of these systems pose important challenges to the machine learning community as they typically involve high-dimensional, multimodal streams of data characterized by a large variability; where data portions may be missing or labels can be unreliable. 

Notwithstanding the large amount of research endeavors aimed at tackling these issues, the comparison of different approaches is often not possible due to the lack of common benchmarking tools and datasets that allow for replicable and fair testing procedures across several research groups. The aim of this workshop is to discuss and compare different methods for robust activity recognition, as well as putting forward the need for common resources for such comparison.  To promote such comparison, the workshop is associated to an activity recognition challenge where contributed methods will be evaluated on a public benchmark database of daily activities recorded using a multimodal network of on-body sensors.

Invited Speakers

Prof. Nobuo Kawaguchi, Nagoya University, Japan

Dr. Kamil Kloch / Prof. Dr. Paul Lukowicz, Universität Passau, Germany

Dr. Kristof Van Laerhoven, Technische Universität Darmstadt, Germany

Dr. Thomas Ploetz, Newcastle University, UK; Georgia Tech, USA


Important dates

June 28, 2011: Regular papers submission deadline

July 1, 2011:  Acceptance/rejection notification

July 5, 2011:  Camera ready version due

August 31, 2011: 'Last-minute-results' abstracts submission deadline

September 12, 2011: 'Last-minute-results' acceptance/rejection notification

Oct 9,  2011: Workshop at the SMC Conference


Indicative Topics/Areas

  • Pattern recognition and Classification
  • Features extraction and selection
  • Adaptive classifiers
  • Classification with non stationarities
  • Dynamic network reconfiguration
  • Body sensor networks
  • Performance evaluation
  • Automatic segmentation
  • Man-machine interaction
  • Multimodal data fusion
  • Robustness to noise



Dr. Ricardo Chavarriaga, EPFL, Lausanne, Switzerland

Dr. Daniel Roggen, ETHZ, Zürich, Switzerland

Prof. Dr. Alois Ferscha, JKU, Linz, Austria


Call for Papers (Closed)

We call for contributions addressing specific problems in activity recognition from body-worn sensors. Each paper should be concise with sufficient detail and references to allow critical review and formatted according to the conference guidelines (max 4 pages). Papers will be reviewed by two referees for technical merit and content. Accepted papers will appear in the conference proceedings only if one of the authors is registered for the conference and presents the paper at the workshop.

CfP: Last-Minute Results


Participants will be able to present and discuss their most recent developments during a  last-minute results session within the workshop. Contributors should submit a 2-page abstract that will be reviewed by the organizing committe. Depending on the availability of time, outstanding contributions will be considered for oral presentation. Please notice that the abstracts will be disrtibuted to participants but will not be included in the conference proceedings. Submissions should be send to  email address:

In order to allow comparison of about the benefits/drawbacks of different approaches under the same testing conditions we strongly encourage the submission of papers that address the problems proposed in the associated activity recognition challenge.




Do not hesitate to contact the consortium.


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.


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