Nonparametric identification of human arm dynamics

Eric J. Perreault*, Robert F. Kirsch, Ana Maria Acosta

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Understanding the dynamic response of the human arm to external perturbations is critical for understanding the neural and mechanical factors contributing to postural arm stability and for predicting stability during interactions with the external environment. One means of describing arm dynamics is by estimating the dynamic endpoint stiffness (DES). This paper introduces an efficient nonparametric approach for estimating DES, and uses this technique to characterize changes in DES under different endpoint loading conditions.

Original languageEnglish (US)
Pages (from-to)1835-1836
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume4
StatePublished - Dec 1 1997

ASJC Scopus subject areas

  • Bioengineering

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