A MoliZoft System Identification Approach of the Just Walk Data

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

P. Lopes dos Santos (Author) FEUP; Freigoun, MT (Author) Other; Rivera, DE (Author) Other; Hekler, EB (Author) Other; Martin, CA (Author) Other; Romano, R (Author) Other; Perdicoulis, TP (Author) Other; Ramos, JA (Author) Other

Conference proceedings International

Title: IFAC PAPERSONLINE

20th World Congress of the International-Federation-of-Automatic-Control (IFAC)

Toulouse, FRANCE, JUL 09-14, 2017

Indexing

ISI Web of Knowledge - 2 Citations

Scopus - 2 Citations

Other information

Authenticus ID: P-00N-KXR

DOI: 10.1016/j.ifacol.2017.08.2060

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6