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Identification of Effective EEG Electrodes
for Depression Sensing
Yuma TSURUGASAKI
a,1
, Katsuhiro MORI a
, Michael Hefenbrock b
,
and Yoshito TOBE a
a
Department of Integrated Information Technology, Aoyama Gakuin University, Kanagawa,
Japan
b
Karlsruhe Institute of Technology, Karlsruhe, Germany
Abstract. In social communication, recognizing the feelings of others has an
important role. Computers can build better relationships between computers and
human by recognizing human emotions. Due to depressed feeling, various negative
effects such as shortage of sleep, loss of appetite, lowering of concentration ability
are concerned. In order to prevent it and further depression, emotion recognition
system is necessary. Electroencephalographs (EEGs) are inexpensive among
devices that can measure brain activity and are effective in emotion recognition.
Since the EEGs acquired from adjacent electrode site of EEG are similar, it is
necessary to consider reduction of electrodes, in order to alleviate the complexity of
calculation and to avoid overfitting. Previous research has shown valid electrode
sites for emotion recognition of depression using an EEG. However, when using an
EEG that can flexibly change the measurement sites or an EEG with a small number
of electrodes, it is not clear what kind of electrode sites combination should be used
to measure EEGs. In this study, we have examined the combination of EEG channels
with high contribution to emotion of depression. We have used the dataset DEAP
which has EEG data annotated emotion. Explanatory variables were chosen using
LARS to identify the effective channels.
Keywords. EEG, depression, DEAP, LARS
1. Introduction
Recognizing the feelings of others in social communication has an important role. A
person reacts to changes in the feelings of the caregiver's face and voice in about ten
weeks after birth [1]. Up to seven months of age reacts to the disagreement between
emotion and face /and voice [2]. The importance of emotion recognition has increased
because the recognition of the feelings of the self leads to the control of feelings such as
analysis of stress and prevention of power harassment. Machines such as computers exist
in order to enrich the lives of human beings, and therefore, it is desirable for a computer
to conform to a person rather than a computer. In the present situation, it is considered
that emotional recognition is important for the computer to be able to meet the person in
the communication with the person and the computer though consideration to the
person's feelings is not sufficient.
1
Yuma TSURUGASAKI, Department of Integrated Information Technology, Aoyama Gakuin
University, 5-10-1 Fuchinobe, Chuo-ku, Sagamihara 252-5258, Japan E-mail: yuma@rcl-aoyama.jp
Intelligent Environments 2019
A. Muñoz et al. (Eds.)
© 2019 The authors and IOS Press.
This article is published online with Open Access by IOS Press and distributed under the terms
of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).
doi:10.3233/AISE190037
152
Intelligent Environments 2019
Workshop Proceedings of the 15th International Conference on Intelligent Environments
- Titel
- Intelligent Environments 2019
- Untertitel
- Workshop Proceedings of the 15th International Conference on Intelligent Environments
- Autoren
- Andrés Muñoz
- Sofia Ouhbi
- Wolfgang Minker
- Loubna Echabbi
- Miguel Navarro-Cía
- Verlag
- IOS Press BV
- Datum
- 2019
- Sprache
- deutsch
- Lizenz
- CC BY-NC 4.0
- ISBN
- 978-1-61499-983-6
- Abmessungen
- 16.0 x 24.0 cm
- Seiten
- 416
- Kategorie
- Tagungsbände