Abstract
The still increasing life length expectancy creates new challenges in the field of senior care. It encourages researchers to provide the nursing homes and senior care assistants with tools that will both, rise an alarm in case of a sudden fall and collect data for long-term diagnosis of the declining motor abilities like the number of steps taken per day or changes in some gait parameters. This paper presents a quantitative validation of a remote system for activity monitoring of the elderly based on inertial sensors. It focuses on features connected to walk quality such as number of steps and the swing angle outlined by an ankle in the sagittal plane during walk. A measurement protocol is proposed, a validation method is described and the obtained results are discussed.
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Acknowledgments
Project co-financed by the European Regional Development Fund under the Operational Programme Innovative Economy, project no. POIG.01.03.01-24-061/12. The authors wish to thank the medical staff of the Nursing Home Święta Elżbieta in Ruda Śląska for the possibility of conducting the experiments.
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Stepien, P. et al. (2016). Quantitative Validation of Gait and Swing Angles Determination from Inertial Signals. In: Piętka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technologies in Medicine. ITiB 2016. Advances in Intelligent Systems and Computing, vol 472. Springer, Cham. https://doi.org/10.1007/978-3-319-39904-1_6
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DOI: https://doi.org/10.1007/978-3-319-39904-1_6
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