Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Recognizing Detailed Human Context In-the-Wild from Smartphones and
  Smartwatches   The ability to automatically recognize a person's behavioral context can
contribute to health monitoring, aging care and many other domains. Validating
context recognition in-the-wild is crucial to promote practical applications
that work in real-life settings. We collected over 300k minutes of sensor data
with context labels from 60 subjects. Unlike previous studies, our subjects
used their own personal phone, in any way that was convenient to them, and
engaged in their routine in their natural environments. Unscripted behavior and
unconstrained phone usage resulted in situations that are harder to recognize.
We demonstrate how fusion of multi-modal sensors is important for resolving
such cases. We present a baseline system, and encourage researchers to use our
public dataset to compare methods and improve context recognition in-the-wild.

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The categories of this paper are: physics
7
The categories of this paper are: hep-th
36
The categories of this paper are: cmp-lg
37
The categories of this paper are: supr-con
18
The categories of this paper are: econ
12
The categories of this paper are: nucl-th
28
The categories of this paper are: alg-geom
31
The categories of this paper are: ao-sci
34
The categories of this paper are: chem-ph
30
The categories of this paper are: q-alg
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The categories of this paper are: quant-ph
14
The categories of this paper are: math-ph
27
The categories of this paper are: comp-gas
10
The categories of this paper are: q-bio
20
The categories of this paper are: acc-phys
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The categories of this paper are: math