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Monitoring induced floor vibrations: dance performance and bridge engineering
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Paper Abstract

Integrating the interest of dancers in monitoring dance quality with the interest of engineers in monitoring loads and vibrations, this research studies floor vibrations induced by human activity while classifying and characterizing dances simultaneously. This research uses smart sensing capabilities with readily available low-cost Arduino sensors equipped with accelerometers. The paper describes the procedures to extract step features from the signal to categorically classify different dance steps. The major contribution of this work is to demonstrate that structural vibration can be used to classify dance steps and provide meaningful information about the harmony of the dances. The conclusion of this research accomplishes that using this new Cyber-Physical Systems (CPS), dancers’ performance can be objectively classified using floor vibration data.

Paper Details

Date Published: 27 March 2019
PDF: 8 pages
Proc. SPIE 10970, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019, 109701E (27 March 2019); doi: 10.1117/12.2515368
Show Author Affiliations
Dilendra Maharjan, The Univ. of New Mexico (United States)
Elijah Wyckoff, Arizona State Univ. (United States)
Marlon Agüero, The Univ. of New Mexico (United States)
Selene Martinez, Menaul School (United States)
Lucas Zhou, La Cueva High School (United States)
Fernando Moreu, The Univ. of New Mexico (United States)


Published in SPIE Proceedings Vol. 10970:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019
Jerome P. Lynch; Haiying Huang; Hoon Sohn; Kon-Well Wang, Editor(s)

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