DanXe: An extended artificial intelligence framework to analyze and promote dance heritage

Lorenzo Stacchio, Silvia Garzarella, Pasquale Cascarano, Allegra De Filippo, Elena Cervellati, Gustavo Marfia

Abstract: Highlights•Introduction of DanXe, a novel framework combining Artificial Intelligence strategies for digitization and automatic analysis with Extended Reality solutions for immersive visualization.•DanXe allows to put the basis for the creation of Digital Twins of the dance world, to preserve, and promote Dance Heritage, for both intangible and tangible materials. This also facilitates simulations, idea dissemination, and multi-modal analysis.•DanXe follows a multidisciplinary approach, that aims at enriching the storytelling of dance heritage, and supports researchers through automated data analysis while extending its implications to various creative industries and cultural heritage preservation efforts.•DanXe was applied and validated through a case study focusing on the artistic legacy of Rudolf Nureyev, emphasizing comprehensive organization and analysis of materials related to his impact, offering demonstrations of the strategies of Danxe for its analysis and exploration.