Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Hand Hygiene Video Classification Based on Deep Learning   In this work, an extensive review of literature in the field of gesture
recognition carried out along with the implementation of a simple
classification system for hand hygiene stages based on deep learning solutions.
A subset of robust dataset that consist of handwashing gestures with two hands
as well as one-hand gestures such as linear hand movement utilized. A
pretrained neural network model, RES Net 50, with image net weights used for
the classification of 3 categories: Linear hand movement, rub hands palm to
palm and rub hands with fingers interlaced movement. Correct predictions made
for the first two classes with > 60% accuracy. A complete dataset along with
increased number of classes and training steps will be explored as a future
work.

12
The categories of this paper are: nucl-th
23
The categories of this paper are: solv-int
0
The categories of this paper are: hep-ph
21
The categories of this paper are: adap-org
7
The categories of this paper are: hep-th
22
The categories of this paper are: chao-dyn
19
The categories of this paper are: eess
32
The categories of this paper are: atom-ph
3
The categories of this paper are: physics
16
The categories of this paper are: stat
36
The categories of this paper are: cmp-lg
20
The categories of this paper are: acc-phys
2
The categories of this paper are: math
25
The categories of this paper are: patt-sol
11
The categories of this paper are: hep-lat
31
The categories of this paper are: ao-sci