Due to the recent spread of COVID-19 infection, online communication tools are rapidly becoming widespread. However, it is difficult to convey nonverbal information online, therefore, it is difficult to obtain “empathy,” which is important in communication. Although there are methods to convey empathy in existing SNS platform such as using buttons, people may feel reluctant to consciously convey their feeling. In our study, we propose a system that will extract empathy feeling from biological signals, heart rate variability and brain waves. With our proposed method, it is possible to generate and share empathy reaction automatically and unconsciously. As a preliminary study toward creating such a system, we assess the method for analyzing empathy in this study by calculating correlation of biological signals of two persons communicating in online environment under two conditions: video on and off. The results showed significant effects of correlation coefficient, suggesting that empathy could be measured.