Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Wearable Vision Detection of Environmental Fall Risks using
  Convolutional Neural Networks   In this paper, a method to detect environmental hazards related to a fall
risk using a mobile vision system is proposed. First-person perspective videos
are proposed to provide objective evidence on cause and circumstances of
perturbed balance during activities of daily living, targeted to seniors. A
classification problem was defined with 12 total classes of potential fall
risks, including slope changes (e.g., stairs, curbs, ramps) and surfaces (e.g.,
gravel, grass, concrete). Data was collected using a chest-mounted GoPro
camera. We developed a convolutional neural network for automatic feature
extraction, reduction, and classification of frames. Initial results, with a
mean square error of 8%, are promising.

17
The categories of this paper are: q-fin
24
The categories of this paper are: dg-ga
20
The categories of this paper are: acc-phys
8
The categories of this paper are: hep-ex
31
The categories of this paper are: ao-sci
4
The categories of this paper are: cond-mat
33
The categories of this paper are: plasm-ph
37
The categories of this paper are: supr-con
26
The categories of this paper are: bayes-an
6
The categories of this paper are: astro-ph
28
The categories of this paper are: alg-geom
12
The categories of this paper are: nucl-th
11
The categories of this paper are: hep-lat
16
The categories of this paper are: stat
3
The categories of this paper are: physics
15
The categories of this paper are: nucl-ex