02077nas a2200361   4500000000100000008004100001260002600042653002200068653002200090653001700112653002000129653002100149653002100170653001200191653002300203653002300226653001300249653003300262653003400295653001900329653001900348653001200367653002000379653002000399653001900419653002000438100001600458245004300474856014800517300001200665520101300677020002501690                                       d  bIEEE Computer Society10aAugmented reality10aAugmented reality10aCell culture10aCultural Dances10aCultural Studies10aCultural studies10aCulture10aDigital humanities10aDigital humanities10aheritage10aIntangible cultural heritage10aIntangible cultural heritages10aMotion sensing10aMotion sensing10amuseums10avirtual museums10aVirtual reality10aVirtual museum10aVirtual reality1 aMuqeem Khan00aMuse: Understanding Traditional Dances  uhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84900525933&doi=10.1109%2fVR.2014.6802107&partnerID=40&md5=29c785766569214aea4bacd11d0f08e8  a173-1743 aThis demo encapsulates the possible manifestation of Middle Eastern indigenous dance, Al Ardha, in the form of a serious gaming environment. The presentation also illustrates the interconnection and possible transformation of Intangible Cultural Heritage (ICH) content, such as traditional dances, into a digital kinesthetic learning system. The system is called Mimicry Understanding and Safeguarding Environment (MUSE). It is designed to help museum visitors learn traditional or indigenous dances with the help of motion-sensing technologies. MUSE is a multidisciplinary research project and is expected to analyze the intricacies of various indigenous dances, particularly the Arabic sword dance. MUSE interface is expected to facilitate museum visitors  awareness, learning, and practice of the Al Ardha dance of the Middle Eastern region. Through its easy-to-learn and user-friendly interface, MUSE can facilitate and foster playfulness and user engagement to enhance the experience of museum visitors.  a9781479928712 (ISBN)