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@INPROCEEDINGS{Calatroni10,
     author = {Calatroni, Alberto and Roggen, Daniel and Tr{\"{o}}ster, Gerhard},
   keywords = {OPPORTUNITY},
      title = {A methodology to use unknown new sensors for activity recognition by leveraging sporadic interactions with primitive sensors and behavioral assumptions},
  booktitle = {Proc. of the Opportunistic Ubiquitous Systems Workshop, part of 12th ACM Int. Conf. on Ubiquitous Computing},
       year = {2010},
        url = {http://www.wearable.ethz.ch/resources/UbicompWorkshop_OpportunisticUbiquitousSystems},
   abstract = {In the perspective of activity recognition systems operating
for long periods of time in environments susceptible of upgrades,
one question that arises is how to exploit a-priori
unknown newly discovered sensors for activity recognition.
We present a methodology to exploit these unknown new
sensors. This methodology uses sporadic interactions with
primitive sensors together with behavioral assumptions to
confer activity recognition capabilities to a newly discovered
sensor. The behavioral assumptions are used to infer additional
information from the primitive sensors (e.g. simple
reed switches) in ways that go beyond their initially foreseen
function (e.g. detecting walking). We explain the methodology
on the example of learning how to use an unknown
new on-body sensor to detect modes of locomotion, when
the user spodarically interacts with instrumented furniture.}
}