Estimating displacement of periodic motion with inertial sensors

U. Xuan Tan; Kalyana C. Veluvolu; Win Tun Latt; Cheng Yap Shee; Cameron N. Riviere; Wei Tech Ang

doi:10.1109/JSEN.2008.917488

Estimating displacement of periodic motion with inertial sensors

U. Xuan Tan
, Kalyana C. Veluvolu
, Win Tun Latt
, Cheng Yap Shee
, Cameron N. Riviere
, Wei Tech Ang

School of Electronics Engineering

IEEE
Nanyang Technological University
Carnegie Mellon University

Research output: Contribution to journal › Article › peer-review

65 Scopus citations

Abstract

Inertial sensors, like accelerometers and gyroscopes, are rarely used by themselves to measure displacement. Accuracy of inertial sensors is greatly handicapped by the notorious integration drift, which arises due to numerical integration of the sensors zero bias error. A solution is proposed in this paper to provide drift free estimation of displacement from inertial sensors.

Original language	English
Article number	4567529
Pages (from-to)	1385-1388
Number of pages	4
Journal	IEEE Sensors Journal
Volume	8
Issue number	8
DOIs	https://doi.org/10.1109/JSEN.2008.917488
State	Published - Aug 2008

Keywords

Inertial sensors
Integration drift
Periodic motion estimation

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10.1109/JSEN.2008.917488

Cite this

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title = "Estimating displacement of periodic motion with inertial sensors",

abstract = "Inertial sensors, like accelerometers and gyroscopes, are rarely used by themselves to measure displacement. Accuracy of inertial sensors is greatly handicapped by the notorious integration drift, which arises due to numerical integration of the sensors zero bias error. A solution is proposed in this paper to provide drift free estimation of displacement from inertial sensors.",

keywords = "Inertial sensors, Integration drift, Periodic motion estimation",

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AU - Latt, Win Tun

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AU - Riviere, Cameron N.

AU - Ang, Wei Tech

PY - 2008/8

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AB - Inertial sensors, like accelerometers and gyroscopes, are rarely used by themselves to measure displacement. Accuracy of inertial sensors is greatly handicapped by the notorious integration drift, which arises due to numerical integration of the sensors zero bias error. A solution is proposed in this paper to provide drift free estimation of displacement from inertial sensors.

KW - Inertial sensors

KW - Integration drift

KW - Periodic motion estimation

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Estimating displacement of periodic motion with inertial sensors

Abstract

Keywords

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