Smartphones are particularly suitable for health related applications during daily living, given their diffusion into society and computational capabilities. We proposed a smartphone application for real-time step length estimation, using inverted pendulum model. We tested the proposed solution on 5 healthy subjects, comparing the smartphone estimation with a stereophotogrammetric system. © 2016 IEEE.
Real time step length estimation on smartphone / Pepa, Lucia; Marangoni, Giacomo; DI NICOLA, Matteo; Ciabattoni, Lucio; Verdini, Federica; Spalazzi, Luca; Longhi, Sauro. - (2016), pp. 315-316. (Intervento presentato al convegno IEEE International Conference on Consumer Electronics, ICCE 2016 tenutosi a usa nel 2016) [10.1109/ICCE.2016.7430626].
Real time step length estimation on smartphone
PEPA, LUCIA
;DI NICOLA, MATTEO
;CIABATTONI, LUCIO
;VERDINI, Federica
;SPALAZZI, Luca
;LONGHI, SAURO
2016-01-01
Abstract
Smartphones are particularly suitable for health related applications during daily living, given their diffusion into society and computational capabilities. We proposed a smartphone application for real-time step length estimation, using inverted pendulum model. We tested the proposed solution on 5 healthy subjects, comparing the smartphone estimation with a stereophotogrammetric system. © 2016 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
