Presentation + Paper
27 March 2019 Monitoring induced floor vibrations: dance performance and bridge engineering
Author Affiliations +
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.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dilendra Maharjan, Elijah Wyckoff, Marlon Agüero, Selene Martinez, Lucas Zhou, and Fernando Moreu "Monitoring induced floor vibrations: dance performance and bridge engineering", Proc. SPIE 10970, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019, 109701E (27 March 2019); https://doi.org/10.1117/12.2515368
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Sensors

Bridges

Algorithm development

Structural health monitoring

Civil engineering

Visual communications

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