02722nas a2200505   4500000000100000008004100001260001200042653001300054653001000067653002500077653001400102653003100116653002700147653003300174653003400207653001300241653002100254653002100275653001900296653002400315653002000339653002800359100001300387700001600400700001500416700001800431700001400449700001500463700001200478700001600490700001300506700001500519700001600534700001500550700001800565700001300583700001700596700001900613245006800632856011800700300001000818490000900828520135900837020002002196                                       d  bCEUR-WS10aBlending10adance10aDigital technologies10aEducation10aFuture research directions10aInformation Technology10aIntangible cultural heritage10aIntangible cultural heritages10aLearning10aLearning systems10amachine learning10aMotion capture10aProject development10aVirtual reality10aWhole-body interactions1 aA. Rizzo1 aK. El Raheb1 aS. Whatley1 aR.M. Cisneros1 aM. Zanoni1 aA. Camurri1 aV. Viro1 aJ.-M. Matos1 aS. Piana1 aM. Buccoli1 aA. Markatzi1 aP. Palacio1 aO. Even Zohar1 aA. Sarti1 aY. Ioannidis1 aE.-M. Fletcher00aWhoLoDancE: Whole-body interaction learning for dance education  uhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85062400167&partnerID=40&md5=dd16926659567d4c7cce5e30ffbcb3a8  a41-500 v22353 aDance resides among the most ancestral forms of art, representing a major asset of the human intangible cultural heritage playing, at the same time, a primary role in contemporary artistic creation. WhoLoDancE, a Research and Innovation Action funded under the European Union’s Horizon 2020 research and innovation programme, aimed at the double goal of preserving its inheritance and integrating digital technologies into contemporary dance learning, teaching and choreography through the digitalisation of dance movements with motion capture techniques, the creation of a large motion repository - including movements from ballet, contemporary, flamenco and traditional Greek folk dances - and the implementation of breakthrough applications ranging from movement quality annotation and segmentation, similarity search, movement blending, multimodal and virtual reality-based experiences for self-reflection and experimentation. In this paper, we present the prototype tools and state-of-the-art results of the project development in its conclusive phase, highlighting the added value this interdisciplinary approach could possibly bring to dance learning and practice, the main technical, practical and cultural challenges encountered in this path and open issues to be addressed in the months to come, providing hints on future research directions.  a16130073 (ISSN)