A feeling estimation system using a simple electroencephalograph

This paper proposes a system for feeling estimation. It uses a simple electroencephalograph as an interface. If quantitative feeling presumption with information from a living body is made possible, it can be considered that a computer can appropriately deal with human's natural sensibility. Input data of proposed system is electroencephalogram (EEG) data of several feelings acquired using a simple electroencephalograph. Output of the system is one of some words associated with certain feelings states. One feature of proposed system is performing classification using the neural network. The neural networks have generalization ability and can deal with data including noise. Another feature is a low burden for the user by using a simple electroencephalograph. The proposed system is applicable to the quantitative evaluation replaced with a questionnaire. It is also applicable to handling the non-verbal information that is missing at communication.