RT Journal Article
T1 Walk-IT: An Open-Source Modular Low-Cost Smart Rollator
A1 Fernández-Carmona, Manuel
A1 Ballesteros-Gómez, Joaquín
A1 Díaz-Boladeras, Marta
A1 Parra-Llanas, Xavier
A1 Urdiales-García, Amalia Cristina
A1 Gómez-de-Gabriel, Jesús
K1 Robótica
K1 Rehabilitación
AB Rollators are widely used in clinical rehabilitation for gait assessment, but gait analysis usually requires a great deal of expertise and focus from medical staff. Smart rollators can capture gait parameters autonomously while avoiding complex setups. However, commercial smart rollators, as closed systems, can not be modified; plus, they are often expensive and not widely available. This work presents a low cost open-source modular rollator for monitorization of gait parameters and support. The whole system is based on commercial components and its software architecture runs over ROS2 to allow further customization and expansion. This paper describes the overall software and hardware architecture and, as an example of extended capabilities, modules for monitoring dynamic partial weight bearing and for estimation of spatiotemporal gait parameters of clinical interest. All presented tests are coherent from a clinical point of view and consistent with input data.
PB MDPI
YR 2022
FD 2022
LK https://hdl.handle.net/10630/34169
UL https://hdl.handle.net/10630/34169
LA eng
NO This work is funded by Programa Proyectos RETOS del Ministerio de Ciencia, Innovación y Universidades, Ref: RTI2018-096701-B-C21 (SAVIA: Sistema de Autonomía Variable para movIlidad Asistida) and Plan Propio de la Universidad de Málaga (E3-PROYECTOS DE PRUEBA DE CONCEPTO (E3/02/18)) at Málaga University, Spain. Partial funding for open access charge: Universidad de Málaga.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026