Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Data Fusion on Motion and Magnetic Sensors embedded on Mobile Devices
  for the Identification of Activities of Daily Living   Several types of sensors have been available in off-the-shelf mobile devices,
including motion, magnetic, vision, acoustic, and location sensors. This paper
focuses on the fusion of the data acquired from motion and magnetic sensors,
i.e., accelerometer, gyroscope and magnetometer sensors, for the recognition of
Activities of Daily Living (ADL) using pattern recognition techniques. The
system developed in this study includes data acquisition, data processing, data
fusion, and artificial intelligence methods. Artificial Neural Networks (ANN)
are included in artificial intelligence methods, which are used in this study
for the recognition of ADL. The purpose of this study is the creation of a new
method using ANN for the identification of ADL, comparing three types of ANN,
in order to achieve results with a reliable accuracy. The best accuracy was
obtained with Deep Learning, which, after the application of the L2
regularization and normalization techniques on the sensors data, reports an
accuracy of 89.51%.

22
The categories of this paper are: chao-dyn
34
The categories of this paper are: chem-ph
10
The categories of this paper are: q-bio
0
The categories of this paper are: hep-ph
11
The categories of this paper are: hep-lat
12
The categories of this paper are: nucl-th
28
The categories of this paper are: alg-geom
33
The categories of this paper are: plasm-ph
19
The categories of this paper are: eess
17
The categories of this paper are: q-fin
37
The categories of this paper are: supr-con
8
The categories of this paper are: hep-ex
30
The categories of this paper are: q-alg
23
The categories of this paper are: solv-int
7
The categories of this paper are: hep-th
26
The categories of this paper are: bayes-an