HappyFeet: Challenges in Building an Automated Dance Recognition and Assessment Tool

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dc.contributor.authorFaridee, Abu Zaher Md
dc.contributor.authorRamamurthy, Sreenivasan Ramasamy
dc.contributor.authorRoy, Nirmalya
dc.date.accessioned2019-02-12T17:59:34Z
dc.date.available2019-02-12T17:59:34Z
dc.date.issued2018-09
dc.description.abstractIn this paper, we discuss our experience in building an automated dance assessment tool with IMU and IoT devices and highlight the major challenges of such an endeavor. In a typical dance classroom scenario, where the students frequently outnumber their instructors, such a system can add an immense value to both parties by providing systematic breakdown of the dance moves, comparing the dance moves between the students and the instructors, and pinpointing the places for improvement in an autonomous way. Along that direction, our prototypical work, HappyFeet [1], showcases our initial attempts of developing such an intelligent Dance Activity Recognition (DAR) system. Our CNN based Body Sensor Network proves more effective (by ≈7% margin at 94.20%) at accurately recognizing the micro-steps of the dance activities than traditional feature engineering approaches. These metrics are derived by purposely evaluating the setup on a dance form known for its gentle, smooth and subtle limb movements. In this paper, we articulate how our proposed DAR framework will be generalizable for diverse dance styles involving very pronounced movements, human body kinematics and energy profiles.en_US
dc.description.urihttps://dl.acm.org/citation.cfm?id=3308759en_US
dc.format.extent7 pagesen_US
dc.genrejournal articles postprintsen_US
dc.identifierdoi:10.13016/m23yj1-qhuo
dc.identifier.citationAbu Zaher Md Faridee ,Sreenivasan Ramasamy Ramamurthy, Nirmalya Roy, HappyFeet: Challenges in Building an Automated Dance Recognition and Assessment Tool, GetMobile: Mobile Computing and Communications archive Volume 22 Issue 3, September 2018 Pages 10-16 , DOI: 10.1145/3308755.3308759en_US
dc.identifier.uri10.1145/3308755.3308759
dc.identifier.urihttp://hdl.handle.net/11603/12774
dc.language.isoen_USen_US
dc.publisherACMen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectIoT devicesen_US
dc.subjecthappyfeeten_US
dc.subjectdance activity recognition(DAR)en_US
dc.subjectbody sensorsen_US
dc.subjectenergy profilesen_US
dc.titleHappyFeet: Challenges in Building an Automated Dance Recognition and Assessment Toolen_US
dc.typeTexten_US

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