Comparison of Entrainment Assessment Approach for Brainwaves towards Robotic Assistance

Abstract

The occurrence that lack of entrainment may lead negatively impact conversational success, therefore the final purpose of our study is to use robotic assistance to increase entrainment occurs in human-human interaction. In this paper, we processed the data detected from the dry electrode type of brainwave sensor by two kinds of entrainment assessment approaches calculated by Pearson Correlation Coefficient (PCC) and Dynamic Time Warping (DTW). The result showed DTW algorithm is more suitable to assess the entrainment phenomenon than PCC, because the phenomenon may have different lengths of time-series data and delays, such as brainwaves entrainment.