A practical gait analysis system using gyroscopes
Abstract
This study investigated the possibility of using uni-axial gyroscopes to develop a simple portable gait analysis system. Gyroscopes were attached on the skin surface of the shank and thigh segments and the angular velocity for each segment was recorded in each segment. Segment inclinations and knee angle were derived from segment angular velocities. The angular signals from a motion analysis system were used to evaluate the angular velocities and the derived signals from the gyroscopes. There was a good correlation between these signals. When performing a turn the signals of segment inclination and knee angle drifted. Two methods were used to solve this: automatically resetting the system to re-initialise the angle in each gait cycle, and high-pass filtering. They both successfully corrected this drift. A single gyroscope on the shank segment could provide information on segment inclination range, cadence, number of steps, and an estimation of stride length and walking speed.
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Gyroscopes are suitable for ungrounded tremor assessment because they measure rotational motion and are not influenced by gravity.
“The main advantages of using gyroscopes are [13]: they measure rotational motion (human motion is rotational about joints), they are not influenced by gravity, both frequency and amplitude information accurate down to direct current (dc) (zero frequency), based on mathematical operations it is possible to obtain angular displacement and acceleration, high signal-to-noise ratio, high dynamic range,”
From Design and Validation of a Rehabilitation Robotic Exoskeleton for Tremor Assessment and Suppression (2007) · cites this paper as [13]
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 [36]
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- Authors
- Tong, K., & Granat, M. H.
- Affiliations
- University of Strathclyde (GB)
- Corresponding author
- Granat, Malcolm H
- ORCID
- Granat, Malcolm H
- Venue
- Medical Engineering & Physics
- Publisher
- IOP Publishing
- Published
- 1999-03-01
- Volume
- 21
- Issue
- 2
- Pages
- 87-94
- ISSN
- 1350-4533 (ISSN-L)
- 1873-4030
- OpenAlex
- W1992589116
- Cited by
- 460
- References
- 0
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 7 · 2023: 12 · 2022: 17 · 2021: 22 · 2020: 19 · 2019: 26 · 2018: 38 · 2017: 23 · 2016: 25 · 2015: 27 · 2014: 25 · 2013: 36 · 2012: 27
- FWCI
- 3.21
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Medical Engineering & Physics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- University of Strathclyde
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Gait Recognition and Analysis
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
- Physical Sciences › Engineering › Biomedical Engineering › Lower Extremity Biomechanics and Pathologies
- Keywords
- gait analysis, wearable sensors, knee joint angle, angular velocity, drift correction, high-pass filtering, stride length estimation, walking speed, cadence
- MeSH terms
- Algorithms, Ankle, Biomechanical Phenomena, Gait, Humans, Knee, Tibia, Time Factors, Transducers, Monitoring, Ambulatory
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