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

Abstract

Motivated by the need to leverage technologies to enhance the preservation, accessibility, quantitative data analysis, and valorization of Dance Heritage, this work introduces DanXe, a framework based on Artificial Intelligence and Extended Reality for the digitization, automatic analysis, and immersive manipulations of tangible and intangible cultural heritage material. Our contribution offers a framework to define the Digital Twin of documentary assets associated with dance heritage, enriching the storytelling of its traditions, performers, and specific languages. The implications of the proposed framework extend beyond the realm of dance, impacting various creative industries and cultural heritage preservation efforts. The approach is validated through a specific case study, linked to the artistic legacy of the dancer and choreographer Rudolf Nureyev intending to narrate his artistic impact. Moreover, we contribute with the description of an effective strategy for the comprehensive organization and analysis of all materials related to the legacy of the dancer.