Abstract
We present a method for improving left-right walking gait balance using structural floor vibration sensing by characterizing changes in structural properties in the sensing area. Understanding and measuring human gait balance can be used to assess overall health status, mobility, and rehabilitation progress. The key research challenge is that structural properties in the sensing area may differ from one footstep location to the next, resulting in inaccurate footstep force and balance estimations. To address this challenge, our method performs sensor selection using the insight that some sensors in the sensor network are in a similar structural region as the footstep location and, therefore, are not as effected by the observed variations in structural properties as the other sensors. We evaluate the performance of our method by conducting uncontrolled real-world walking experiments in a residential structure. This evaluation shows that our method achieves a 1.6X reduction in force estimation error and a 2.4X reduction in balance estimation as compared to the baseline approach.
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References
Vaught, S.L.: Gait, balance, and fall prevention. Ochsner J. 3(2), 94–97 (2001)
Furman, J.M., Cass, S.P., Whitney, S.L.: Vestibular Disorders: A Case-study Approach to Diagnosis and Treatment. Oxford University Press, New York (2010)
Nnodim, J.O., Yung, R.L.: Balance and its clinical assessment in older adults a review. J. Geriatr. Med. Gerontol. 1(1), 94–97 (2001)
Lindemann, U., Moe-Nilssen, R., Nicolai, S.E., Becker, C., Chiari, L.: Assessment of balance in unsupported standing with elderly inpatients by force plate and accelerometers. Aging Clin. Exp. Res. 24(1), 37–41 (2012)
Mancini, M., Horak, F.B.: The relevance of clinical balance assessment tools to differentiate balance deficits. Eur. J. Phys. Rehabil. Med. 46(2), 239–248 (2010)
Fagert, J., Mirshekari, M., Pan, S., Zhang, P., Noh, H.Y.: Characterizing left-right gait balance using footstep-induced structural vibrations. In: SPIE Smart Structures and Materials+ Nondestructive Evaluation and Health Monitoring, pp. 10168–10169 (2017)
I/O Sensor Nederland bv.: SM-24 Geophone Element. P/N 1004117 (2006)
Mirshekari, M., Zhang, P., Noh, H.Y. Calibration-free footstep frequency estimation using structural vibration. In: IMAC XXXV A Conference and Exposition on Structural Dynamics. SEM (2017)
Vagenas, G., Hoshizaki, B.: A multivariable analysis of lower extremity kinematic asymmetry in running. Int. J. Sport Biomech. 8(1), 11–29 (1992)
Tekscan, Inc.: Flexiforce Standard Model A401 Datasheet (2017)
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© 2019 The Society for Experimental Mechanics, Inc.
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Fagert, J., Mirshekari, M., Pan, S., Zhang, P., Noh, H.Y. (2019). Characterizing Structural Changes to Estimate Walking Gait Balance. In: Pakzad, S. (eds) Dynamics of Civil Structures, Volume 2. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-74421-6_44
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DOI: https://doi.org/10.1007/978-3-319-74421-6_44
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