Title:
activity-recognition-based-on-DRNN
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Description: Activity recognition has received increasing attention from
the machine learning community. Of particular interest is the ability to
recognize activities in real time streaming data, but this presents a
number of challenges not faced by traditional offline approaches. Among
these challenges is handling the large amount of data that does not
belong to a predefined class. In this paper, we describe a method by
which activity discovery can be used to identify behavioral patterns in
observational data. Discovering patterns in the data that does not belong
to a predefined class aids in understanding this data and segmenting it
into learnable classes.
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activity recognition based on DRNN\cairodata
..................................\cairoheader
..................................\main.c
activity recognition based on DRNN
