Drum dance accuracy detector: A CNN-based pose estimation framework for detecting inaccurate movements in Miao drum dance

Abstract

As an intangible cultural heritage derived from the Miao culture, drum dance faces the crisis of losing its inheritance. The main cause behind the issue is the lack of teaching resources and distribution of the drum dance. This work is dedicated to resolving this issue with the usage of the recent advances in artificial intelligence. More specifically, the solution of Incorrect Movement Detection (IMD) is invented, where the core technique lies in the CNN-based pose estimation algorithm. IMD enables the real-time detection of the inaccurate dance movements, which realizes the possibility of self-learning of drum dance. The effectiveness of IMD is already validated by its application in a field research project at a Miao village in Xiangxi, Hunan, China. The proposed system may have a significant impact on the preservation and promotion of Miao culture.