Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Deep Learning Based Signal Enhancement of Low-Resolution Accelerometer
  for Fall Detection Systems   In the last two decades, fall detection (FD) systems have been developed as a
popular assistive technology. Such systems automatically detect critical fall
events and immediately alert medical professionals or caregivers. To support
long-term FD services, various power-saving strategies have been implemented.
Among them, a reduced sampling rate is a common approach for an
energy-efficient system in the real-world. However, the performance of FD
systems is diminished owing to low-resolution (LR) accelerometer signals. To
improve the detection accuracy with LR accelerometer signals, several technical
challenges must be considered, including misalignment, mismatch of effective
features, and the degradation effects. In this work, a deep-learning-based
accelerometer signal enhancement (ASE) model is proposed to improve the
detection performance of LR-FD systems. This proposed model reconstructs
high-resolution (HR) signals from the LR signals by learning the relationship
between the LR and HR signals. The results show that the FD system using
support vector machine and the proposed ASE model at an extremely low sampling
rate (sampling rate < 2 Hz) achieved 97.34% and 90.52% accuracies in the
SisFall and FallAllD datasets, respectively, while those without ASE models
only achieved 95.92% and 87.47% accuracies in the SisFall and FallAllD
datasets, respectively. This study demonstrates that the ASE model helps the FD
systems tackle the technical challenges of LR signals and achieve better
detection performance.

18
The categories of this paper are: econ
4
The categories of this paper are: cond-mat
21
The categories of this paper are: adap-org
14
The categories of this paper are: math-ph
36
The categories of this paper are: cmp-lg
0
The categories of this paper are: hep-ph
26
The categories of this paper are: bayes-an
28
The categories of this paper are: alg-geom
25
The categories of this paper are: patt-sol
16
The categories of this paper are: stat
7
The categories of this paper are: hep-th
22
The categories of this paper are: chao-dyn
2
The categories of this paper are: math
32
The categories of this paper are: atom-ph
15
The categories of this paper are: nucl-ex
3
The categories of this paper are: physics