Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Hyperparameters optimization for Deep Learning based emotion prediction
  for Human Robot Interaction   To enable humanoid robots to share our social space we need to develop
technology for easy interaction with the robots using multiple modes such as
speech, gestures and share our emotions with them. We have targeted this
research towards addressing the core issue of emotion recognition problem which
would require less computation resources and much lesser number of network
hyperparameters which will be more adaptive to be computed on low resourced
social robots for real time communication. More specifically, here we have
proposed an Inception module based Convolutional Neural Network Architecture
which has achieved improved accuracy of upto 6% improvement over the existing
network architecture for emotion classification when combinedly tested over
multiple datasets when tried over humanoid robots in real - time. Our proposed
model is reducing the trainable Hyperparameters to an extent of 94% as compared
to vanilla CNN model which clearly indicates that it can be used in real time
based application such as human robot interaction. Rigorous experiments have
been performed to validate our methodology which is sufficiently robust and
could achieve high level of accuracy. Finally, the model is implemented in a
humanoid robot, NAO in real time and robustness of the model is evaluated.

29
The categories of this paper are: funct-an
20
The categories of this paper are: acc-phys
15
The categories of this paper are: nucl-ex
30
The categories of this paper are: q-alg
19
The categories of this paper are: eess
3
The categories of this paper are: physics
27
The categories of this paper are: comp-gas
34
The categories of this paper are: chem-ph
5
The categories of this paper are: gr-qc
7
The categories of this paper are: hep-th
11
The categories of this paper are: hep-lat
37
The categories of this paper are: supr-con
8
The categories of this paper are: hep-ex
17
The categories of this paper are: q-fin
10
The categories of this paper are: q-bio
26
The categories of this paper are: bayes-an