02729nas a2200517   4500000000100000000000100001008004100002260001200043653003300055653003400088653002000122653002100142653002500163653002100188653001300209653002700222653001900249653001400268653001000282653003100292653001300323653002400336653002800360100001300388700001300401700001500414700001800429700001400447700001500461700001200476700001600488700001300504700001500517700001600532700001500548700001500563700001300578700001700591700001900608245006800627856011800695300001000813490000900823520135900832020002002191       2018                            d  bCEUR-WS10aIntangible cultural heritage10aIntangible cultural heritages10aVirtual reality10amachine learning10aDigital technologies10aLearning systems10aBlending10aInformation Technology10aMotion capture10aEducation10adance10aFuture research directions10aLearning10aProject development10aWhole-body interactions1 aA. Rizzo1 aEl Raheb1 aS. Whatley1 aR.M. Cisneros1 aM. Zanoni1 aA. Camurri1 aV. Viro1 aJ.-M. Matos1 aS. Piana1 aM. Buccoli1 aA. Markatzi1 aP. Palacio1 aEven 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)