A MoliZoft System Identification Approach of the Just Walk Data

P. Lopes dos Santos, M. T. Freigoun, Daniel Rivera, E. B. Hekler, C. A. Martín, R. Romano, T. P. Perdicoúlis, J. A. Ramos

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

A system identification approach is used estimate linear time invariant models from the data of physical activity gathered in the Just Walk intervention conducted by the Designing Health Lab and the Control Systems Laboratory at Arizona State University A class of identification algorithms proposed elsewhere by one of the authors, denoted as MoliZoft, was reformulated and adapted to estimate models from data gathered in this experience. In this paper, the identification algorithms are described and the best models estimated for a particular participant are analysed and used to improve the results in future experiments.

Original languageEnglish (US)
Pages (from-to)12508-12513
Number of pages6
JournalIFAC-PapersOnLine
Volume50
Issue number1
DOIs
StatePublished - Jul 1 2017

Fingerprint

Identification (control systems)
Health
Control systems
Experiments

Keywords

  • behavioural sciences
  • Least squares identification
  • Output error identification
  • Prediction error methods
  • Social
  • System identification

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

dos Santos, P. L., Freigoun, M. T., Rivera, D., Hekler, E. B., Martín, C. A., Romano, R., ... Ramos, J. A. (2017). A MoliZoft System Identification Approach of the Just Walk Data. IFAC-PapersOnLine, 50(1), 12508-12513. https://doi.org/10.1016/j.ifacol.2017.08.2060

A MoliZoft System Identification Approach of the Just Walk Data. / dos Santos, P. Lopes; Freigoun, M. T.; Rivera, Daniel; Hekler, E. B.; Martín, C. A.; Romano, R.; Perdicoúlis, T. P.; Ramos, J. A.

In: IFAC-PapersOnLine, Vol. 50, No. 1, 01.07.2017, p. 12508-12513.

Research output: Contribution to journalArticle

dos Santos, PL, Freigoun, MT, Rivera, D, Hekler, EB, Martín, CA, Romano, R, Perdicoúlis, TP & Ramos, JA 2017, 'A MoliZoft System Identification Approach of the Just Walk Data', IFAC-PapersOnLine, vol. 50, no. 1, pp. 12508-12513. https://doi.org/10.1016/j.ifacol.2017.08.2060
dos Santos PL, Freigoun MT, Rivera D, Hekler EB, Martín CA, Romano R et al. A MoliZoft System Identification Approach of the Just Walk Data. IFAC-PapersOnLine. 2017 Jul 1;50(1):12508-12513. https://doi.org/10.1016/j.ifacol.2017.08.2060
dos Santos, P. Lopes ; Freigoun, M. T. ; Rivera, Daniel ; Hekler, E. B. ; Martín, C. A. ; Romano, R. ; Perdicoúlis, T. P. ; Ramos, J. A. / A MoliZoft System Identification Approach of the Just Walk Data. In: IFAC-PapersOnLine. 2017 ; Vol. 50, No. 1. pp. 12508-12513.
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