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Assessment of Walking Features From Foot Inertial Sensing
Open accessAbstract
An ambulatory monitoring system is developed for the estimation of spatio-temporal gait parameters. The inertial measurement unit embedded in the system is composed of one biaxial accelerometer and one rate gyroscope, and it reconstructs the sagittal trajectory of a sensed point on the instep of the foot. A gait phase segmentation procedure is devised to determine temporal gait parameters, including stride time and relative stance; the procedure allows to define the time intervals needed for carrying an efficient implementation of the strapdown integration, which allows to estimate stride length, walking speed, and incline. The measurement accuracy of walking speed and inclines assessments is evaluated by experiments carried on adult healthy subjects walking on a motorized treadmill. Root-mean-square errors less than 0.18 km/h (speed) and 1.52% (incline) are obtained for tested speeds and inclines varying in the intervals [3, 6] km/h and [-5, + 15]%, respectively. Based on the results of these experiments, it is concluded that foot inertial sensing is a promising tool for the reliable identification of subsequent gait cycles and the accurate assessment of walking speed and incline.
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Citations
Cites
Detecting absolute human knee angle and angular velocity using accelerometers and rate gyroscopes
Williamson, R., & Andrews, B. J. (2001) · Medical & Biological Engineering & Computing · doi:10.1007/bf02345283 · Cited by 185
Cited by
Wearable sensor-based real-time gait detection: A systematic review
Prasanth, H., Caban, M., Keller, U., Courtine, G., Ijspeert, A., Vallery, H., & von Zitzewitz, J. (2021) · Sensors · doi:10.3390/s21082727 · Cited by 348
Estimating Three-Dimensional Orientation of Human Body Parts by Inertial/Magnetic Sensing
Sabatini, A. M. (2011) · Sensors · doi:10.3390/s110201489 · Cited by 349
Self-citationInertial Sensor-Based Gait Recognition: A Review
Sprager, S., & Juric, M. (2015) · Sensors · doi:10.3390/s150922089 · Cited by 347
Ambulatory Position and Orientation Tracking Fusing Magnetic and Inertial Sensing
Roetenberg, D., Slycke, P. J., & Veltink, P. H. (2007) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2006.889184 · Cited by 334
Pasluosta, C. F., Gassner, H., Winkler, J., Klucken, J., & Eskofier, B. M. (2015) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2015.2461555 · Cited by 323
Metadata
- Authors
- Sabatini, A. M., Martelloni, C., Scapellato, S., & Cavallo, F.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 2005-03
- Volume
- 52
- Issue
- 3
- Pages
- 486-494
- ISSN
- 0018-9294 (ISSN-L)
- OpenAlex
- W2153542846
- Cited by
- 650
- References
- 1
- FWCI
- 10.12
- Type
- journal article
- Language
- en
- Open access
- green
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- Sabatini, A. M., Martelloni, C., Scapellato, S., & Cavallo, F. (2005). Assessment of Walking Features From Foot Inertial Sensing. IEEE Transactions on Biomedical Engineering. https://doi.org/10.1109/tbme.2004.840727
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