02328nas a2200505   4500000000100000008004100001260004000042653002600082653002500108653002100133653003300154653003400187653001300221653002400234653001600258653002100274653002300295653002000318100001900338700002100357700002000378700001800398700001500416700001300431700001400444700001500458700001400473700001400487700001400501700001200515700001600527700002200543700002300565700001600588700001500604700001700619700001800636700001400654700001800668245005700686856014800743490002000891520088600911020002501797                                       d  bAssociation for Computing Machinery10aComputer applications10aComputer programming10aCreation process10aIntangible cultural heritage10aIntangible cultural heritages10aMetadata10aMotion capture data10aMulti-modal10aMulti-modal data10aMultimodal capture10aUltrasound data1 aN. Grammalidis1 aK. Dimitropoulos1 aF. Tsalakanidou1 aA. Kitsikidis1 aP. Roussel1 aB. Denby1 aP. Chawah1 aL. Buchman1 aS. Dupont1 aS. Laraba1 aB. Picart1 aM. Tits1 aJ. Tilmanne1 aS. Hadjidimitriou1 aL. Hadjileontiadis1 aV. Charisis1 aC. Volioti1 aA. Stergiaki1 aA. Manitsaris1 aO. Bouzos1 aS. Manitsaris00aThe i-Treasures Intangible Cultural Heritage dataset  uhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84979737357&doi=10.1145%2f2948910.2948944&partnerID=40&md5=8854dbc7d1486c1f1082d03b59d091810 v05-06-July-20163 aIn this paper, we introduce the i-Treasures Intangible Cultural Heritage (ICH) dataset, a freely available collection of multimodal data captured from different forms of rare ICH. More specifically, the dataset contains video, audio, depth, motion capture data and other modalities, such as EEG or ultrasound data. It also includes (manual) annotations of data, while in some cases additional features and metadata are provided, extracted using algorithms and modules developed within the i-Treasures project. We describe the creation process (sensors, capture setups and modules used), the dataset content and the associated annotations. An attractive feature of this ICH Database is that it s the first of its kind, providing annotated multimodal data for a wide range of rare ICH types. Finally, some conclusions are drawn and the future development of the dataset is discussed.  a9781450343077 (ISBN)