Seite - 152 - in Intelligent Environments 2019 - Workshop Proceedings of the 15th International Conference on Intelligent Environments

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