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Gait Analysis Using a Shoe-Integrated Wireless Sensor System
Abstract
We describe a wireless wearable system that was developed to provide quantitative gait analysis outside the confines of the traditional motion laboratory. The sensor suite includes three orthogonal accelerometers, three orthogonal gyroscopes, four force sensors, two bidirectional bend sensors, two dynamic pressure sensors, as well as electric field height sensors. The "GaitShoe" was built to be worn in any shoe, without interfering with gait and was designed to collect data unobtrusively, in any environment, and over long periods. The calibrated sensor outputs were analyzed and validated with results obtained simultaneously from the Massachusetts General Hospital, Biomotion Laboratory. The GaitShoe proved highly capable of detecting heel-strike and toe-off, as well as estimating foot orientation and position, inter alia.
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Citations
Cites
A Reliable Gyroscope-Based Gait-Phase Detection Sensor Embedded in a Shoe Insole
Pappas, I. P. I., Keller, T., Mangold, S., Popovic, M., Dietz, V., & Morari, M. (2004) · IEEE Sensors Journal · doi:10.1109/jsen.2004.823671 · Cited by 221
Cited by
Smart wearable systems: Current status and future challenges
Chan, M., Estève, D., Fourniols, J.-Y., Escriba, C., & Campo, E. (2012) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2012.09.003 · Cited by 953
Foot Plantar Pressure Measurement System: A Review
Abdul Razak, A. H., Zayegh, A., Begg, R. K., & Wahab, Y. (2012) · Sensors · doi:10.3390/s120709884 · Cited by 817
USC-HAD: a daily activity dataset for ubiquitous activity recognition using wearable sensors
Zhang, M., & Sawchuk, A. A. (2012) · Proceedings of the 2012 ACM Conference on Ubiquitous Computing · doi:10.1145/2370216.2370438 · Cited by 554
Alberdi, A., Aztiria, A., & Basarab, A. (2016) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2015.11.007 · Cited by 473
Gait Partitioning Methods: A Systematic Review
Taborri, J., Palermo, E., Rossi, S., & Cappa, P. (2016) · Sensors · doi:10.3390/s16010066 · Cited by 361
Metadata
- Authors
- Bamberg, S., Benbasat, A. Y., Scarborough, D. M., Krebs, D. E., & Paradiso, J. A.
- Venue
- IEEE Transactions on Information Technology in Biomedicine
- Published
- 2008-07
- Volume
- 12
- Issue
- 4
- Pages
- 413-423
- ISSN
- 1089-7771 (ISSN-L)
- OpenAlex
- W2141071145
- Cited by
- 737
- References
- 1
- FWCI
- 51.55
- Type
- journal article
- Language
- en
- Open access
- closed
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- Bamberg, S., Benbasat, A. Y., Scarborough, D. M., Krebs, D. E., & Paradiso, J. A. (2008). Gait Analysis Using a Shoe-Integrated Wireless Sensor System. IEEE Transactions on Information Technology in Biomedicine. https://doi.org/10.1109/titb.2007.899493
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
