TY - GEN
T1 - A novel multimodal cognitive interaction for walker-assisted rehabilitation therapies
AU - Scheidegger, Wandercleyson M.
AU - De Mello, Ricardo C.
AU - Sierra, Sergio D.
AU - Jimenez, Mario F.
AU - Munera, Marcela C.
AU - Cifuentes, Carlos A.
AU - Frizera-Neto, Anselmo
N1 - Funding Information:
ACKNOWLEDGMENT The research leading to these results received funding from the European Commission H2020 program under grant agreement no. 688941 (FUTEBOL), as well from the Brazilian MCTIC through RNP and CTIC. This work was partially supported by FAPES (80709036 & 72982608), and CNPq (304192/2016-3). This study was financed in part by the Coordenac¸ão de Aperfeic¸oamento de Pessoal de Nivel Superior – Brasil (CAPES) - Finance Code 001. This work was supported by Colombia Colciencias (Grant 801-2017) and Colombian School of Engineering Julio Garavito Funds.
Publisher Copyright:
© 2019 IEEE.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2019/6
Y1 - 2019/6
N2 - This work presents a multimodal cognitive interaction strategy aiming at walker-assisted rehabilitation therapies, with special focus on post-stroke patients. Such interaction strategy is based on monitoring user's gait and face orientation to command the displacement of the smart walker. Users are able to actively command the steering of the walker by changing their face orientation, while their lower limbs movement affect the walker's linear velocity. The proposed system is validated using a smart walker and the results obtained point to the feasibility of employing such cognitive interaction in rehabilitation therapies.
AB - This work presents a multimodal cognitive interaction strategy aiming at walker-assisted rehabilitation therapies, with special focus on post-stroke patients. Such interaction strategy is based on monitoring user's gait and face orientation to command the displacement of the smart walker. Users are able to actively command the steering of the walker by changing their face orientation, while their lower limbs movement affect the walker's linear velocity. The proposed system is validated using a smart walker and the results obtained point to the feasibility of employing such cognitive interaction in rehabilitation therapies.
UR - http://www.scopus.com/inward/record.url?scp=85071149714&partnerID=8YFLogxK
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U2 - 10.1109/ICORR.2019.8779469
DO - 10.1109/ICORR.2019.8779469
M3 - Conference contribution
C2 - 31374745
AN - SCOPUS:85071149714
T3 - IEEE International Conference on Rehabilitation Robotics
SP - 905
EP - 910
BT - 2019 IEEE 16th International Conference on Rehabilitation Robotics, ICORR 2019
PB - IEEE Computer Society
T2 - 16th IEEE International Conference on Rehabilitation Robotics, ICORR 2019
Y2 - 24 June 2019 through 28 June 2019
ER -
