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A threshold-based fall-detection algorithm using a bi-axial gyroscope sensor
Abstract
A threshold-based algorithm, to distinguish between Activities of Daily Living (ADL) and falls is described. A gyroscope based fall-detection sensor array is used. Using simulated-falls performed by young volunteers under supervised conditions onto crash mats and ADL performed by elderly subjects, the ability to discriminate between falls and ADL was achieved using a bi-axial gyroscope sensor mounted on the trunk, measuring pitch and roll angular velocities, and a threshold-based algorithm. Data analysis was performed using Matlab to determine the angular accelerations, angular velocities and changes in trunk angle recorded, during eight different fall and ADL types. Three thresholds were identified so that a fall could be distinguished from an ADL: if the resultant angular velocity is greater than 3.1 rads/s (Fall Threshold 1), the resultant angular acceleration is greater than 0.05 rads/s(2) (Fall Threshold 2), and the resultant change in trunk-angle is greater than 0.59 rad (Fall Threshold 3), a fall is detected. Results show that falls can be distinguished from ADL with 100% accuracy, for a total data set of 480 movements.
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Cited by
Human fall detection on embedded platform using depth maps and wireless accelerometer
Kwolek, B., & Kepski, M. (2014) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2014.09.005 · Cited by 650
Fall detection - Principles and Methods
Noury, N., Fleury, A., Rumeau, P., Bourke, A. K., Laighin, G. O., Rialle, V., & Lundy, J. E. (2007) · 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society · doi:10.1109/iembs.2007.4352627 · Cited by 615
Self-citationActivity identification using body-mounted sensors—a review of classification techniques
Preece, S. J., Goulermas, J. Y., Kenney, L. P. J., Howard, D., Meijer, K., & Crompton, R. (2009) · Physiological Measurement · doi:10.1088/0967-3334/30/4/r01 · Cited by 600
Bonato, P. (2010) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/memb.2010.936554 · Cited by 423
Elderly Fall Detection Systems: A Literature Survey
Wang, X., Ellul, J., & Azzopardi, G. (2020) · Frontiers in Robotics and AI · doi:10.3389/frobt.2020.00071 · Cited by 380
Metadata
- Authors
- Bourke, A. K., & Lyons, G. M.
- Venue
- Medical Engineering & Physics
- Publisher
- IOP Publishing
- Published
- 2008-01-01
- Volume
- 30
- Issue
- 1
- Pages
- 84-90
- ISSN
- 1350-4533 (ISSN-L)
- 1873-4030
- OpenAlex
- W2007717933
- Cited by
- 509
- References
- 0
- FWCI
- 21.38
- Type
- journal article
- Language
- en
- Open access
- closed
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- Bourke, A. K., & Lyons, G. M. (2008). A threshold-based fall-detection algorithm using a bi-axial gyroscope sensor. Medical Engineering & Physics. https://doi.org/10.1016/j.medengphy.2006.12.001
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