Real time step length estimation on smartphone
Lucia Pepa, Giacomo Marangoni, Matteo Di Nicola, Lucio Ciabattoni, Federica Verdini, Luca Spalazzi, Sauro Longhi · 2016
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.