Interactive dance performance evaluation using timing and accuracy similarity

Abstract

This paper presents a dance performance evaluation how well a learner mimics the teacher's dance as follows. We estimate the human skeletons, then extract dance features such as torso and first and second-degree feature, and compute the similarity score between the teacher and the learner dance sequence in terms of timing and pose accuracies. To validate the proposed dance evaluation method, we conducted several experiments on a large K-Pop dance database. The proposed methods achieved 98% concordance with experts' evaluation on dance performance.