Sensor headband for emotion recognition in a virtual reality environment

Abstract

Due to global digitalisation, teaching in virtual reality is becoming a growing market. Compared to learning in class, individual learning scenarios are possible. To find out, if a person is currently stressed or overstrained and the training course thus should be adapted, it is necessary to detect the emotional state of the person. Therefore in this paper a sensor headband is introduced, which is able to measure certain physiological values such as galvanic skin conductance, blood volume pulse or body temperature. With the help of feature extraction it is then possible to determine, which emotional state relevant in learning scenarios is predominate.