(1) What is the best way to combine heterogeneous data from multiple sensors? Is contextual information encoded in specific correlation patterns, or is there one sensor that “says it all” for each context, and can we learn this automatically? How do we model and analyze correlations between heterogeneous data?
(3) A major part of this workshop will be dedicated to the discussion of data. The community has a great need for a shared public dataset that will allow researchers to compare algorithms and improve collaboration. In our panel discussion we will discuss issues such as creating a central data repository, common data collection apps, and unique issues with context-awareness data.
Some where they need to seek a platform having the ability of data PORTABILITY....in dealing with all the sensors..
You now see where PORTABILITY comes into play...e.Digital can manage the attributes of data from any sensor on the CE device and pour it all to the server....then manage that data on the server side.
e.Digital is a one size fits all...
Thanks sman....they are coming head on into the wall now.
doni
