This study is to propose an analytical technique and evaluation measures effective for investigations of emotion estimation by using biological information. For conducting investigations to analyze atmosphere and emotions by corresponding biological information with a Russell's circumplex model, any of analytical techniques or evaluation measures are not established and therefore are used with uncertain effectiveness. In this study, we propose a novel technique using vector decomposition, while a reported study proposed a technique using the ratio of distances analysis, for emotion estimation on the basis of 8 emotion classifications by using 2 different types of biological information including an electroencephalogram and pulse rate, in which a point of emotion is classified on a circumplex model corresponding to a two-dimensional coordinate. Also, to validate the effectiveness, we analyzed audience's emotions responded to a show initially motivating us to investigate. We demonstrated that the evaluation measures could be more effective by validating the evaluation.