<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>Spinal-Curvature-Dataset</dcterms:title><dcterms:identifier>https://doi.org/10.60933/PRDR/7AGONW</dcterms:identifier><dcterms:creator>Mak, T.H.Alex</dcterms:creator><dcterms:creator>Liang, Ruixin</dcterms:creator><dcterms:creator>Chim, T.W.</dcterms:creator><dcterms:creator>Yip, Joanne</dcterms:creator><dcterms:publisher>PolyU Research Data Repository</dcterms:publisher><dcterms:issued>2024-05-31</dcterms:issued><dcterms:modified>2024-05-31T00:38:21Z</dcterms:modified><dcterms:description>A dataset that contains markers positions and IMU readings on the human spine.</dcterms:description><dcterms:subject>Medicine, Health and Life Sciences</dcterms:subject><dcterms:subject>spine</dcterms:subject><dcterms:subject>neural network</dcterms:subject><dcterms:subject>inertial measurement unit</dcterms:subject><dcterms:subject>dynamic monitoring</dcterms:subject><dcterms:language>English</dcterms:language><dcterms:isReferencedBy>Mak, T. A., Liang, R., Chim, T. W., &amp; Yip, J. (2023). A Neural Network Approach for Inertial Measurement Unit-Based Estimation of Three-Dimensional Spinal Curvature. Sensors, 23(13), 6122., doi, 10.3390/s23136122, https://doi.org/10.3390/s23136122</dcterms:isReferencedBy><dcterms:isReferencedBy>Link in PolyU Institutional Research Archive (PIRA), http://hdl.handle.net/10397/102688</dcterms:isReferencedBy><dcterms:date>2024-05-31</dcterms:date><dcterms:contributor>PolyU, Research Data Repository</dcterms:contributor><dcterms:dateSubmitted>2024-05-23</dcterms:dateSubmitted><dcterms:license>CC BY-NC 4.0</dcterms:license></metadata>