Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Locomotion and gesture tracking in mice and small animals for
  neurosceince applications: A survey   Neuroscience has traditionally relied on manually observing lab animals in
controlled environments. Researchers usually record animals behaving in free or
restrained manner and then annotate the data manually. The manual annotation is
not desirable for three reasons; one, it is time consuming, two, it is prone to
human errors and three, no two human annotators will 100\% agree on annotation,
so it is not reproducible. Consequently, automated annotation of such data has
gained traction because it is efficient and replicable. Usually, the automatic
annotation of neuroscience data relies on computer vision and machine leaning
techniques. In this article, we have covered most of the approaches taken by
researchers for locomotion and gesture tracking of lab animals. We have divided
these papers in categories based upon the hardware they use and the software
approach they take. We also have summarized their strengths and weaknesses.

2
The categories of this paper are: math
12
The categories of this paper are: nucl-th
3
The categories of this paper are: physics
25
The categories of this paper are: patt-sol
37
The categories of this paper are: supr-con
11
The categories of this paper are: hep-lat
27
The categories of this paper are: comp-gas
29
The categories of this paper are: funct-an
0
The categories of this paper are: hep-ph
24
The categories of this paper are: dg-ga
7
The categories of this paper are: hep-th
28
The categories of this paper are: alg-geom
16
The categories of this paper are: stat
8
The categories of this paper are: hep-ex
26
The categories of this paper are: bayes-an
15
The categories of this paper are: nucl-ex