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CALL FOR PARTICIPATION

Robust machine learning techniques for human activity recognition
A full day workshop at the IEEE conf on Systems, Man and Cybernetics 2011
October 9-12, Anchorage, USA
http://www.opportunity-project.eu/workshopSMC
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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 characterised by a large variability; where
data portions may be missing or labels can be unreliable.

Notwithstanding the large amount of research endeavours 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 (see below) 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
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Prof. Dr. Paul Lukowicz, Universität Passau
Dr. Thomas Ploetz, Newcastle University

Important dates
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June 28, 2011: Submission deadline
July 1, 2011: Acceptance/rejection notification
July 5, 2011: Camera ready due
October 9, 2011: Workshop

Contact: activityrecognition.challenge@gmail.com