Assessment of Walker-assisted Human Interaction from LRF and Wearable Wireless Inertial Sensors
Maria Martins, Carlos Cifuentes, Arlindo Elias, Valmir Schneider, Anselmo Frizera, Cristina Santos
2013
Abstract
This paper describes the assessment of basic walker-assisted human interaction based on a laser range finder (LRF) sensor and two inertial wearable sensors. Thirteen osteoarthritis patients and thirteen healthy subjects were selected to be part of this pilot experiment, which intends to acquire and calculate spatiotemporal and human-interaction parameters from walker-assisted ambulation. A comparison is made between the spatiotemporal parameters of healthy subjects and the ones of patients with osteoarthritis. Moreover, it is made an analysis of the effect that change of direction in walker-assisted ambulation can have on spatiotemporal parameters. Results have shown that 1) velocity, step length and distance to the walker are significantly affected by the change of direction, and 2) distance to the walker and step length can distinguish between healthy subjects and patients with osteoarthritis. In terms of human-interaction parameters, results show that a LRF sensor can correctly describe the trajectory and velocity of the user in relation to the walker. However, just the wearable sensors can characterize changes in direction. These results will be further used in the development of a robotic control that intends to detect the user's intention through LRF and inertial sensors, and respond accordingly.
References
- Altman R., Asch E, Bloch D., Bole G, Borenstein D, Brandt K., Christy W., Cooke T. D., Greenwald R., Hochberg M, et al. Development of criteria for the classification and reporting of osteoarthritis. Classification of osteoarthritis of the knee. Diagnostic and Therapeutic Criteria Committee of the American Rheumatism Association. Arthritis Rheum. 1986 Aug;29(8):1039-49.
- Bateni, H., Maki B: Assistive devices for balance and mobility: benefits, demands and adverse consequences. Arch Phys Med Rehabil vol 86, jan 2005. Pp 134-144.
- Cifuentes, C., Gentiletti, G., Suarez, M. J., Rodríguez, L. E., “Development of a Zigbee platform for bioinstrumentation,” in Proceedings of the 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2010, pp. 390-393.
- Debi R., Mor A., Segal O., Segal G., Debbi E., Agar G., Halperin N, Haim A, Elbaz A. Differences in gait patterns, pain, function and quality of life between males and females with knee osteoarthritis: a clinical trial. BMC Musculoskelet Disord. 2009 Oct 13;10:127. doi: 10.1186/1471-2474-10-127.
- Debi R., Mor A., Segal G., Segal O., Agar G., Debbi E., Halperin N, Haim A, Elbaz A. Correlation between single limb support phase and self-evaluation questionnaires in knee osteoarthritis populations. Disabil Rehabil. 2011;33(13-14):1103-9. doi: 10.3109/09638288.2010.520805. Epub 2011 Jan 5.
- Elbaz A., Mor A., Segal O., Agar G., Halperin N., Haim A, Debbi E, Segal G, Debi R. Can single limb support objectively assess the functional severity of knee osteoarthritis?. Knee. 2012 Jan;19(1):32-5. doi: 10.1016/j.knee.2010.12.004. Epub 2011 Jan 26.
- Frizera A., Gallego J. A., Rocon E., Pons J. L, Ceres R.: Extraction of user's navigation commands from upper body force interaction in walker assisted gait. Biomedical Engineering Online 2010, 9(1):37.
- Kuan-Ting Yu; Chi-Pang Lam; Ming-Fang Chang; WeiHao Mou.; Shi-Huan Tseng; Li-Chen Fu. An Interactive Robotic Walker for Assisting Elderly Mobility in Senior Care Unit, 2010.
- Lee, G., Jung, E., Ohnuma, T., Chong ,N., Yi, B. JAIST Robotic Walker Control Based on a Two-layered Kalman Filter. IEEE International Conference on Robotics and Automation, Shangai, China, 2011, pp. 3682-3687.
- Martins, M., Frizera, A., Santos, C., Ceres, R.. (2011).Assistive Mobility Devices focusing on Smart Walkers: Classification and Review. Robotics and Autonomous Systems. DOI: 10.1016/j.robot. 2011.11.015.
- Ochi, Y.; Terashima, K.; Kubo, K.; Miyoshi, T.Tracking control to human gait of lift-type walking assist robot using range sensor. Proceedings of the 14th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, 2011.
Paper Citation
in Harvard Style
Martins M., Cifuentes C., Elias A., Schneider V., Frizera A. and Santos C. (2013). Assessment of Walker-assisted Human Interaction from LRF and Wearable Wireless Inertial Sensors . In Proceedings of the International Congress on Neurotechnology, Electronics and Informatics - Volume 1: SensoryFusion, (NEUROTECHNIX 2013) ISBN 978-989-8565-80-8, pages 143-151. DOI: 10.5220/0004624201430151
in Bibtex Style
@conference{sensoryfusion13,
author={Maria Martins and Carlos Cifuentes and Arlindo Elias and Valmir Schneider and Anselmo Frizera and Cristina Santos},
title={Assessment of Walker-assisted Human Interaction from LRF and Wearable Wireless Inertial Sensors},
booktitle={Proceedings of the International Congress on Neurotechnology, Electronics and Informatics - Volume 1: SensoryFusion, (NEUROTECHNIX 2013)},
year={2013},
pages={143-151},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004624201430151},
isbn={978-989-8565-80-8},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Congress on Neurotechnology, Electronics and Informatics - Volume 1: SensoryFusion, (NEUROTECHNIX 2013)
TI - Assessment of Walker-assisted Human Interaction from LRF and Wearable Wireless Inertial Sensors
SN - 978-989-8565-80-8
AU - Martins M.
AU - Cifuentes C.
AU - Elias A.
AU - Schneider V.
AU - Frizera A.
AU - Santos C.
PY - 2013
SP - 143
EP - 151
DO - 10.5220/0004624201430151