Sensing methodologies for gait parameters estimation and control
- Author
- Maria Jose Pinto Bernal (UGent) , Sergio D. Sierra M., Marcela Múnera and Carlos A. Cifuentes
- Organization
- Abstract
- One of the essential aspects of assistive and rehabilitation robots is related to gait evaluation and analysis. In general, multiple sensing technologies are available to acquire gait information. Among these are sensing devices involving inertial sensors, ultrasonic sensors, laser rangefinders, and plantar pressure sensors. From the information provided by these devices, it is possible to calculate spatiotemporal gait parameters such as cadence, speed, step length, among others. It is also possible to detect and characterize the phases of the gait cycle. Accordingly, this chapter presents a description of the most relevant gait indicators and some wearable sensors that allow their acquisition. Finally, there are described two usage scenarios for a lower-limb exoskeleton and a robotic walker. These scenarios describe two methodologies to extract gait parameters from an inertial sensor and a laser rangefinder.
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8745860
- MLA
- Pinto Bernal, Maria Jose, et al. “Sensing Methodologies for Gait Parameters Estimation and Control.” Interfacing Humans and Robots for Gait Assistance and Rehabilitation, edited by Carlos A. Cifuentes and Marcela Múnera, Springer, 2022, pp. 143–68, doi:10.1007/978-3-030-79630-3_5.
- APA
- Pinto Bernal, M. J., Sierra M., S. D., Múnera, M., & Cifuentes, C. A. (2022). Sensing methodologies for gait parameters estimation and control. In C. A. Cifuentes & M. Múnera (Eds.), Interfacing humans and robots for gait assistance and rehabilitation (pp. 143–168). https://doi.org/10.1007/978-3-030-79630-3_5
- Chicago author-date
- Pinto Bernal, Maria Jose, Sergio D. Sierra M., Marcela Múnera, and Carlos A. Cifuentes. 2022. “Sensing Methodologies for Gait Parameters Estimation and Control.” In Interfacing Humans and Robots for Gait Assistance and Rehabilitation, edited by Carlos A. Cifuentes and Marcela Múnera, 143–68. Cham: Springer. https://doi.org/10.1007/978-3-030-79630-3_5.
- Chicago author-date (all authors)
- Pinto Bernal, Maria Jose, Sergio D. Sierra M., Marcela Múnera, and Carlos A. Cifuentes. 2022. “Sensing Methodologies for Gait Parameters Estimation and Control.” In Interfacing Humans and Robots for Gait Assistance and Rehabilitation, ed by. Carlos A. Cifuentes and Marcela Múnera, 143–168. Cham: Springer. doi:10.1007/978-3-030-79630-3_5.
- Vancouver
- 1.Pinto Bernal MJ, Sierra M. SD, Múnera M, Cifuentes CA. Sensing methodologies for gait parameters estimation and control. In: Cifuentes CA, Múnera M, editors. Interfacing humans and robots for gait assistance and rehabilitation. Cham: Springer; 2022. p. 143–68.
- IEEE
- [1]M. J. Pinto Bernal, S. D. Sierra M., M. Múnera, and C. A. Cifuentes, “Sensing methodologies for gait parameters estimation and control,” in Interfacing humans and robots for gait assistance and rehabilitation, C. A. Cifuentes and M. Múnera, Eds. Cham: Springer, 2022, pp. 143–168.
@incollection{8745860,
abstract = {{One of the essential aspects of assistive and rehabilitation robots is related to gait evaluation and analysis. In general, multiple sensing technologies are available to acquire gait information. Among these are sensing devices involving inertial sensors, ultrasonic sensors, laser rangefinders, and plantar pressure sensors. From the information provided by these devices, it is possible to calculate spatiotemporal gait parameters such as cadence, speed, step length, among others. It is also possible to detect and characterize the phases of the gait cycle. Accordingly, this chapter presents a description of the most relevant gait indicators and some wearable sensors that allow their acquisition. Finally, there are described two usage scenarios for a lower-limb exoskeleton and a robotic walker. These scenarios describe two methodologies to extract gait parameters from an inertial sensor and a laser rangefinder.}},
author = {{Pinto Bernal, Maria Jose and Sierra M., Sergio D. and Múnera, Marcela and Cifuentes, Carlos A.}},
booktitle = {{Interfacing humans and robots for gait assistance and rehabilitation}},
editor = {{Cifuentes, Carlos A. and Múnera, Marcela}},
isbn = {{9783030796297}},
language = {{eng}},
pages = {{143--168}},
publisher = {{Springer}},
title = {{Sensing methodologies for gait parameters estimation and control}},
url = {{http://doi.org/10.1007/978-3-030-79630-3_5}},
year = {{2022}},
}
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