Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Know Your Mind: Adaptive Brain Signal Classification with Reinforced
  Attentive Convolutional Neural Networks   Electroencephalography (EEG) signals reflect activities on certain brain
areas. Effective classification of time-varying EEG signals is still
challenging. First, EEG signal processing and feature engineering are
time-consuming and highly rely on expert knowledge. In addition, most existing
studies focus on domain-specific classification algorithms which may not be
applicable to other domains. Moreover, the EEG signal usually has a low
signal-to-noise ratio and can be easily corrupted. In this regard, we propose a
generic EEG signal classification framework that accommodates a wide range of
applications to address the aforementioned issues. The proposed framework
develops a reinforced selective attention model to automatically choose the
distinctive information among the raw EEG signals. A convolutional mapping
operation is employed to dynamically transform the selected information to an
over-complete feature space, wherein implicit spatial dependency of EEG samples
distribution is able to be uncovered. We demonstrate the effectiveness of the
proposed framework using three representative scenarios: intention recognition
with motor imagery EEG, person identification, and neurological diagnosis.
Three widely used public datasets and a local dataset are used for our
evaluation. The experiments show that our framework outperforms the
state-of-the-art baselines and achieves the accuracy of more than 97% on all
the datasets with low latency and good resilience of handling complex EEG
signals across various domains. These results confirm the suitability of the
proposed generic approach for a range of problems in the realm of
Brain-Computer Interface applications.

3
The categories of this paper are: physics
26
The categories of this paper are: bayes-an
28
The categories of this paper are: alg-geom
16
The categories of this paper are: stat
32
The categories of this paper are: atom-ph
14
The categories of this paper are: math-ph
24
The categories of this paper are: dg-ga
2
The categories of this paper are: math
20
The categories of this paper are: acc-phys
4
The categories of this paper are: cond-mat
31
The categories of this paper are: ao-sci
0
The categories of this paper are: hep-ph
17
The categories of this paper are: q-fin
35
The categories of this paper are: mtrl-th
5
The categories of this paper are: gr-qc
37
The categories of this paper are: supr-con