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Using a Wearable Insole Gait Analyzing System for Automated Mobility Assessment for Older People

  • Conference paper
Computers Helping People with Special Needs (ICCHP 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6180))

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Abstract

Falls among the older population are one of the most common causes for injuries, frailty and for morbidity. Fall incidents have various reasons and are often related to decreased mobility and hence an increasing fall risk could be detected in time. The objective of this paper is to show results and future prospects of the funded project “vitaliSHOE” and in detail of an automated multi-sensor-based method to determine fall risk indicators in older people’s gait and body movements.

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References

  1. Oliver, D., et al.: Risk factors and risk assessment tools for falls in hospital in-patients: a systematic review. Age and Ageing 33, 122–130 (2004)

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  2. Narayanan, M., et al.: Fall Management: Detection and Prevention, using a Waist-mounted Triaxial Accelerometer. In: 29th Annual International Conference of the IEEE EMBS, Lyon, France (2007)

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  3. Lord, S.R., et al.: Streamlining Assessment and intervention in a falls clinic using Timed Up and Go Test and Physiological Profile Assessment. Age and Ageing, 567–571 (2005)

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  4. Mathie, M.J., et al.: A pilote study of long-term monitoring of human movements in the home using accelerometry. J. Telemed Telecare 2004 10, 144–151 (2004)

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  5. Jagos, H., Oberzaucher, J.: Development of a Wearable Measurement System to Identify Characteristics in Human Gait – eSHOE. In: Miesenberger, K., Klaus, J., Zagler, W.L., Karshmer, A.I. (eds.) ICCHP 2008. LNCS, vol. 5105, pp. 1301–1304. Springer, Heidelberg (2008)

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© 2010 Springer-Verlag Berlin Heidelberg

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Oberzaucher, J., Jagos, H., Zödl, C., Hlauschek, W., Zagler, W. (2010). Using a Wearable Insole Gait Analyzing System for Automated Mobility Assessment for Older People. In: Miesenberger, K., Klaus, J., Zagler, W., Karshmer, A. (eds) Computers Helping People with Special Needs. ICCHP 2010. Lecture Notes in Computer Science, vol 6180. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14100-3_89

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  • DOI: https://doi.org/10.1007/978-3-642-14100-3_89

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14099-0

  • Online ISBN: 978-3-642-14100-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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