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Home-Based Monitor for Gait and Activity Analysis
Published on: August 8, 2019
Determination of gait events using an externally mounted shank accelerometer
Jonathan Sinclair1, Sarah J Hobbs, Laurence Protheroe
1Division of Sport Exercise and Nutritional Sciences, University of Central Lancashire, Preston, Lancashire, UK.
Journal of Applied Biomechanics
|March 7, 2013
Summary
A novel method using shank-mounted accelerometers accurately detects gait events like heel strike and toe-off. This provides a reliable alternative when force platforms are unavailable for biomechanical analysis.
Area of Science:
- Biomechanics
- Gait Analysis
- Wearable Sensors
Background:
- Accurate determination of foot contact events is crucial for biomechanical analysis.
- Force platforms are the standard for measuring these events, but their use is limited by availability and cost.
- Alternative methods are needed for accessible gait event detection.
Purpose of the Study:
- To evaluate the efficacy of using accelerometers mounted on the distal tibia to determine gait events.
- To compare the accuracy of accelerometer-based gait event detection with traditional force platform measurements.
Main Methods:
- Sixteen participants ran at a controlled speed (4.0 m/s ± 5%).
- Axial accelerations from tibial-mounted accelerometers and vertical ground reaction forces from force platforms were simultaneously recorded at 1000 Hz.
- Gait events (heel strike, toe-off) and stance phase duration were determined using both methods and compared.
Main Results:
- The accelerometer method showed mean errors of 1.68 ms (average) and 5.46 ms (absolute) for heel strike detection.
- Mean errors for toe-off detection were -3.59 ms (average) and 5.00 ms (absolute).
- Stance phase duration errors were 5.18 ms (mean) and 11.47 ms (absolute), with a strong correlation (r = .96) to force platform data.
Conclusions:
- Shank-mounted accelerometers provide accurate and reliable detection of gait events.
- This method offers a viable and accessible alternative to force platforms for biomechanical analysis.
- The findings support the use of wearable sensors for objective gait assessment.

