2023Unpublished venueRequires access

Study on Calibration Method using Pseudo Acceleration for MEMS Accelerometers

Takahiro Natori, Naoyuki Aikawa

Open publisher page 1 citations

Abstract

This paper examines calibration methods using only accelerometers. We focused on a multi-position method that uses acceleration obtained by holding the accelerometer stationary in various positions. This method is labor intensive because it requires the accelerometers to be stationary so that they are in about 36 to 50 different orientations. Therefore, we propose a method to generate acceleration at arbitrary postures by observing acceleration at only 6 postures and generating pseudo acceleration from these acceleration measurements dataset. The effectiveness of the proposed method is demonstrated by computer simulations.

About this research paper

What this paper is about

This paper examines calibration methods using only accelerometers. We focused on a multi-position method that uses acceleration obtained by holding the accelerometer stationary in various positions. This method is labor intensive because it requires the accelerometers to be stationary so that they are in about 36 to 50 different orientations. Therefore, we propose a method to generate acceleration at arbitrary postures by observing acceleration at only 6 postures and generating pseudo acceleration from these acceleration measurements dataset. The effectiveness of the proposed method is demonstrated by computer simulations.

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Available abstract

This paper examines calibration methods using only accelerometers. We focused on a multi-position method that uses acceleration obtained by holding the accelerometer stationary in various positions. This method is labor intensive because it requires the accelerometers to be stationary so that they are in about 36 to 50 different orientations. Therefore, we propose a method to generate acceleration at arbitrary postures by observing acceleration at only 6 postures and generating pseudo acceleration from these acceleration measurements dataset. The effectiveness of the proposed method is demonstrated by computer simulations.

Key concepts: Accelerometer, Acceleration, Calibration, Computer science, Position (finance), Mathematics, Physics, Statistics

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