Accelerometer and rate gyroscope measurement of kinematics: an inexpensive alternative to optical motion analysis systems
Abstract
A general-purpose system to obtain the kinematics of gait in the sagittal plane based on body-mounted sensors was developed. It consisted of four uniaxial seismic accelerometers and one rate gyroscope per body segment. Tests were done with 10 young healthy volunteers, walking at five different speeds on a treadmill. In order to study the system's accuracy, measurements were made with an optic, passive-marker system and the body-mounted system, simultaneously. In all the comparison cases, the curves obtained from the two systems were very close, showing root mean square errors representing <7% full range in 75% of the cases (overall mean 6.64%, standard deviation 4.13%) and high coefficients of multiple correlation in 100% of cases (overall mean 0.9812, standard deviation 0.02). Calibration of the body-mounted system is done against gravity. The body-mounted sensors do not hinder natural movement. The calculation algorithms are computationally demanding and only are applicable off-line. The body-mounted sensors are accurate, inexpensive and portable and allow long-term recordings in clinical, sport and ergonomics settings.
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Gyroscopes in combination with accelerometers record both linear and angular motion, reducing calibration biases.
“Gyroscopes in combination with accelerometers have the advantage that both linear and angular motion is recorded [36], [37], reducing calibration biases.”
From Wearable Accelerometer and Gyroscope Sensors for Estimating the Severity of Essential Tremor (2024) · cites this paper as [37]
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- Authors
- Mayagoitia, R. E., Nene, A. V., & Veltink, P. H.
- Affiliations
- University of Staffordshire (GB)
- Roessingh Research and Development (NL)
- Corresponding author
- Mayagoitia, Ruth E.
- ORCID
- Mayagoitia, Ruth E.
- Venue
- Journal of Biomechanics
- Publisher
- Elsevier BV
- Published
- 2002-04
- Volume
- 35
- Issue
- 4
- Pages
- 537-542
- ISSN
- 0021-9290 (ISSN-L)
- OpenAlex
- W1967159897
- Cited by
- 655
- References
- 0
- Citations by year
- 2026: 4 · 2025: 9 · 2024: 12 · 2023: 17 · 2022: 19 · 2021: 25 · 2020: 39 · 2019: 23 · 2018: 50 · 2017: 49 · 2016: 31 · 2015: 29 · 2014: 42 · 2013: 39 · 2012: 42
- FWCI
- 13.98
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Biomechanics (publishedVersion)
- PubMed (publishedVersion)
- University of Twente Research Information (publishedVersion)
- Research Portal (King's College London) (submittedVersion)
- University of Twente Research Information (submittedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Gait Recognition and Analysis
- Physical Sciences › Engineering › Biomedical Engineering › Lower Extremity Biomechanics and Pathologies
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Keywords
- gait kinematics, body-mounted sensors, seismic accelerometers, rate gyroscope, low-cost motion capture, sagittal plane, treadmill walking, sensor calibration, measurement accuracy
- MeSH terms
- Acceleration, Adult, Electronic Data Processing, Biomechanical Phenomena, Equipment Design, Foot, Gait, Humans, Leg, Male, Movement, Reproducibility of Results, Walking
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