Multimodal Human–Robot Interaction for Walker-Assisted Gait

Human mobility is affected by different types of pathologies and also decreases gradually with age. In this context, Smart Walkers may offer important benefits for human assisted-gait in rehabilitation and functional compensation scenarios. This paper proposes a new interaction strategy for human-wa...

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Autores:
Cifuentes, Carlos A.
Rodríguez, Camilo
Frizera Neto, Anselmo
Bastos Filho, Teodiano Freire
Carelli, Ricardo
Tipo de recurso:
Article of investigation
Fecha de publicación:
2016
Institución:
Escuela Colombiana de Ingeniería Julio Garavito
Repositorio:
Repositorio Institucional ECI
Idioma:
eng
OAI Identifier:
oai:repositorio.escuelaing.edu.co:001/1577
Acceso en línea:
https://repositorio.escuelaing.edu.co/handle/001/1577
https://doi.org/10.1109/JSYST.2014.2318698
Palabra clave:
Robótica médica
Robots Moviles
Tecnología médica
Medical technology
Interacción humano-robot
Sensor de unidades de medida inercial (IMU)
Telémetro láser (LRF)
Interfaz multimodal
Marcha asistida por andador
Inertial Measurement Unit (IMU) Sensor
Human-robot interaction
Multimodal interface
Laser Range Finder (LRF)
Walker-assisted gait
Rights
closedAccess
License
http://purl.org/coar/access_right/c_14cb
Description
Summary:Human mobility is affected by different types of pathologies and also decreases gradually with age. In this context, Smart Walkers may offer important benefits for human assisted-gait in rehabilitation and functional compensation scenarios. This paper proposes a new interaction strategy for human-walker cooperation. The presented strategy is based on the acquisition of human gait parameters by means of data fusion from inertial measurement units and a laser range finder. This paper includes the mathematical formulation of the controller, simulations, and practical experimentation of the interaction strategy, in order to show the performance of the control system, including the parameter detection methodology. In the experimental study, despite the continuous oscillation during the walking, the parameter estimation was suitable for assisted ambulation, showing an appropriate adaptive behavior with changes in human linear velocity. Finally, the controller keeps the walker continuously following in front of the human gait, and it is shown how the walker orientation follows the human orientation during the real experiments.