Goals of the Workshop
Recognition of high-level events from data streams is a
much needed resource towards building intelligent machines that provide
automatic and autonomous support in our every day lives. Recently, there
has been significant progress towards such activity recognition and
discovery from data. Research progress is evident in (a) building real
systems that extract information from a variety to sensors, to (b)
developing and extending statistical machine learning approaches to
model data for recognition and matching, to (c) study of specific
domains to extract relevant higher-level context which in turn can be
leveraged to support recognition. Many well-defined application domains
have also been brought to the fore-front recently that only suggests the
vast importance of automatic interpretation of data to recognize
activities, actions, and behaviors over both short and extended periods.
These include surveillance and security, aides for older adults and
children with special needs, and support of our every day lives.
However, many significant questions in this area remain
and require bringing together experts from various fields to come
together to discuss upcoming challenges. In this workshop, we will bring
together experts from machine learning, sensing and perception, and
ubiquitous computing to discuss issues related to
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What sensing technologies are available today and
how different forms of sensing technologies can be brought to bear
on this problem? What is feasible and what are the reliability
concerns with various forms of data sensing? (What about privacy?)
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What data modeling, data interpretation, and machine
learning techniques are available today that can be applied to this
problem? How can learning be facilitated and how do we deal with
unknown and "surprising" events that were unexpected and therefore
not modeled.
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What are some application domains that can leverage
from this effort? What specific domain knowledge do these
applications provide that can be used to focus the recognition task
and perhaps aid in making it tractable?
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What should be the long-term and short-term goals of
the research in activity recognition?
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Are we mature field to have a challenge domain and a
test for such a domain? What is such a domain?
Format
The format of this workshop will be heavily biased
towards discussions and brainstorming between experts from differing
backgrounds. The main expected outcome is building of better bridges
between machine learning, sensing, and ubiquitous computing. It will
also generate a list of tools, sensing methodologies, applications, and
related challenges within each area that can be used to advance the
state of the art in this hotly pursued research challenge.
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