Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: How Facial Features Convey Attention in Stationary Environments   Awareness detection technologies have been gaining traction in a variety of
enterprises; most often used for driver fatigue detection, recent research has
shifted towards using computer vision technologies to analyze user attention in
environments such as online classrooms. This paper aims to extend previous
research on distraction detection by analyzing which visual features contribute
most to predicting awareness and fatigue. We utilized the open source facial
analysis toolkit OpenFace in order to analyze visual data of subjects at
varying levels of attentiveness. Then, using a Support-Vector Machine (SVM) we
created several prediction models for user attention and identified Histogram
of Oriented Gradients (HOG) and Action Units to be the greatest predictors of
the features we tested. We also compared the performance of this SVM to deep
learning approaches that utilize Convolutional and/or Recurrent neural networks
(CNN's and CRNN's). Interestingly, CRNN's did not appear to perform
significantly better than their CNN counterparts. While deep learning methods
achieved greater prediction accuracy, SVMs utilized less resources and, using
certain parameters, were able to approach the performance of deep learning
methods.

6
The categories of this paper are: astro-ph
34
The categories of this paper are: chem-ph
15
The categories of this paper are: nucl-ex
0
The categories of this paper are: hep-ph
8
The categories of this paper are: hep-ex
21
The categories of this paper are: adap-org
37
The categories of this paper are: supr-con
19
The categories of this paper are: eess
18
The categories of this paper are: econ
23
The categories of this paper are: solv-int
11
The categories of this paper are: hep-lat
22
The categories of this paper are: chao-dyn
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The categories of this paper are: gr-qc
32
The categories of this paper are: atom-ph
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The categories of this paper are: hep-th
14
The categories of this paper are: math-ph