TY - GEN
T1 - Remote-Operated Multimodal Interface for Therapists during Walker-Assisted Gait Rehabilitation
T2 - 14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019
AU - Sierra, Sergio D.
AU - Jiménez, Mario F.
AU - Múnera, Marcela C.
AU - Frizera-Neto, Anselmo
AU - Cifuentes, Carlos A.
N1 - Publisher Copyright:
© 2019 IEEE.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2019/3/22
Y1 - 2019/3/22
N2 - Smart Walkers are robotic devices commonly used to improve physical stability and sensory support for people with lower limb weakness or cognitive impairments. Even though such devices offer continuous monitoring during gait rehabilitation, empowering therapists to reduce efforts during gait therapies is an interesting research topic. In this context, a new strategy to remote-operate and perceive a walker-assisted gait therapy using a joystick is presented. Three operational modes were configured into a joystick to provide cognitive and physical interaction, such as no feedback mode, light feedback mode and force feedback mode. Results from a usability and acceptance questionnaire showed better participant's understating of light feedback mode, and higher effort perception under force feedback mode. This interaction strategy represents a potential joystick application as a monitoring and control interface in walker-assisted gait.
AB - Smart Walkers are robotic devices commonly used to improve physical stability and sensory support for people with lower limb weakness or cognitive impairments. Even though such devices offer continuous monitoring during gait rehabilitation, empowering therapists to reduce efforts during gait therapies is an interesting research topic. In this context, a new strategy to remote-operate and perceive a walker-assisted gait therapy using a joystick is presented. Three operational modes were configured into a joystick to provide cognitive and physical interaction, such as no feedback mode, light feedback mode and force feedback mode. Results from a usability and acceptance questionnaire showed better participant's understating of light feedback mode, and higher effort perception under force feedback mode. This interaction strategy represents a potential joystick application as a monitoring and control interface in walker-assisted gait.
UR - http://www.scopus.com/inward/record.url?scp=85063998185&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85063998185&partnerID=8YFLogxK
U2 - 10.1109/HRI.2019.8673099
DO - 10.1109/HRI.2019.8673099
M3 - Conference contribution
AN - SCOPUS:85063998185
T3 - ACM/IEEE International Conference on Human-Robot Interaction
SP - 528
EP - 529
BT - HRI 2019 - 14th ACM/IEEE International Conference on Human-Robot Interaction
PB - IEEE Computer Society
Y2 - 11 March 2019 through 14 March 2019
ER -