Semi-Remote Gait Assistance Interface: A Joystick with Visual Feedback Capabilities for Therapists

The constant growth of pathologies affecting human mobility has led to developing of different assistive devices to provide physical and cognitive assistance. Smart walkers are a particular type of these devices since they integrate navigation systems, path-following algorithms, and user interaction...

Full description

Autores:
Garcia A., Daniel E.
Sierra M, Sergio D.
Gomez Vargas, Daniel
Jiménez, Mario F
Múnera, Marcela
Cifuentes, Carlos A.
Tipo de recurso:
Article of journal
Fecha de publicación:
2021
Institución:
Escuela Colombiana de Ingeniería Julio Garavito
Repositorio:
Repositorio Institucional ECI
Idioma:
eng
OAI Identifier:
oai:repositorio.escuelaing.edu.co:001/3248
Acceso en línea:
https://repositorio.escuelaing.edu.co/handle/001/3248
https://repositorio.escuelaing.edu.co/
Palabra clave:
Rehabilitación médica
Medical rehabilitation
Ingeniería biomédica
Biomedical engineering
Aparatos fisiológicos
Physiological apparatus
Movilidad humana
Rehabilitación
Andadores inteligentes
Feedback visual
Teleoperación
Human mobility
Rehabilitation
Smart walkers
Joystick
Visual feedback
Teleoperation
Rights
closedAccess
License
http://purl.org/coar/access_right/c_14cb
Description
Summary:The constant growth of pathologies affecting human mobility has led to developing of different assistive devices to provide physical and cognitive assistance. Smart walkers are a particular type of these devices since they integrate navigation systems, path-following algorithms, and user interaction modules to ensure natural and intuitive interaction. Although these functionalities are often implemented in rehabilitation scenarios, there is a need to actively involve the healthcare professionals in the interaction loop while guaranteeing safety for them and patients. This work presents the validation of two visual feedback strategies for the teleoperation of a simulated robotic walker during an assisted navigation task. For this purpose, a group of 14 clinicians from the rehabilitation area formed the validation group. A simple path-following task was proposed, and the feedback strategies were assessed through the kinematic estimation error (KTE) and a usability survey. A KTE of 0.28 m was obtained for the feedback strategy on the joystick. Additionally, significant differences were found through a Mann–Whitney–Wilcoxon test for the perception of behavior and confidence towards the joystick according to the modes of interaction (p-values of 0.04 and 0.01, respectively). The use of visual feedback with this tool contributes to research areas such as remote management of therapies and monitoring rehabilitation of people’s mobility.