From raw measurements to human pose - a dataset with low-cost and high-end inertial-magnetic sensor data

Manuel Palermo; Sara M. Cerqueira; João André; António Pereira; Cristina P. Santos

doi:10.1038/s41597-022-01690-y

Scientific Data (Sep 2022)

From raw measurements to human pose - a dataset with low-cost and high-end inertial-magnetic sensor data

Manuel Palermo,
Sara M. Cerqueira,
João André,
António Pereira,
Cristina P. Santos

Affiliations

Manuel Palermo: Center for MicroElectroMechanical Systems (CMEMS), University of Minho
Sara M. Cerqueira: Center for MicroElectroMechanical Systems (CMEMS), University of Minho
João André: Center for MicroElectroMechanical Systems (CMEMS), University of Minho
António Pereira: Center for MicroElectroMechanical Systems (CMEMS), University of Minho
Cristina P. Santos: Center for MicroElectroMechanical Systems (CMEMS), University of Minho

DOI: https://doi.org/10.1038/s41597-022-01690-y
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 9

Abstract

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Measurement(s) Raw magnetic, angular rate, and acceleration signals from body motion • Full body kinematics Technology Type(s) Inertial Motion Capture • Inertial Motion Capture (Xsens MVN Awinda) Factor Type(s) Sex • Age • Body Mass • Body height Sample Characteristic - Organism Homo sapiens

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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