PG-EAM - Programa de Pós-Graduação em Engenharia Aeronáutica e Mecânica
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Artigo 2021

Method for the Synchronization of Data Recorders by Coupling Accelerometer Data

Autores

Silva Scarpari, Jose Ricardo
Deolindo, Camila Sardeto
Albano Aratanha, Maria Adelia
Ribeiro, Mauricio Watanabe
De Souza, Anderson
Kozasa, Elisa Harumi
Hirata, Daisy
Matieli, Jose Elias
Forster, Carlos Henrique

Inertial 2021 8th IEEE International Symposium on Inertial Sensors and Systems Proceedings , Article 9430459

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Autores

Resumo

© 2021 IEEE.This paper presents a method to synchronize data acquisition devices that are mechanically coupled, having attached an accelerometer to each device. A common time base for the accelerometer signals are obtained through the identification of pairing salient peaks and applying line-fitting through the potential matches. Aligning data recorded from different sources is important to precisely provide an observation of the state of a system in time (sensor fusion), to estimate the correlation between its variables and to correlate variables to time-based events. A data link between devices is not always possible or convenient. If the acquisition devices are mechanically coupled, such as being in the same body or vehicle, we propose to synchronize the data recorded from both by using the accelerometers signals to bridge. The provided solution is an automated process to find the temporal reference between accelerometer signals. Several signal processing steps are taken after data collection and storage: inconsistency removal and filtering, detection of maxima and minima, selection of saliencies, description through a characteristic pair of numbers: the interval lengths between it and its successor and its predecessor, listing possible matches between salient points, selection of the topmost relevant matches and line fitting with consensus. We discuss qualitative similarities of related work. Quantitative results are also presented by using the multidisciplinary study that motivated this work, with simultaneous data from the instrumentation of a helicopter and pilot physiological data. To conclude, we discuss the limitations of the presented approach and future work.

Palavras-chave

autorotation consensus line fitting data alignment data fusion matching synchronization

Control and Optimization (MATH) Instrumentation (PHYS)
: Scopus
Última atualização: 2026-06-25
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