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Analysis of the Bayesian Gait-State Estimation Problem for ..:
, In:
2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob)
,
Medrano, Roberto Leo
;
Thomas, Gray Cortright
;
Rouse, Elliott J.
. - p. 1-8 , 2022
Link:
https://doi.org/10.1109/BioRob52689.2022.9925504
RT T1
2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob)
: T1
Analysis of the Bayesian Gait-State Estimation Problem for Lower-Limb Wearable Robot Sensor Configurations
UL https://suche.suub.uni-bremen.de/peid=ieee-9925504&Exemplar=1&LAN=DE A1 Medrano, Roberto Leo A1 Thomas, Gray Cortright A1 Rouse, Elliott J. A1 Gregg, Robert D. YR 2022 SN 2155-1782 K1 Legged locomotion K1 Exoskeletons K1 Thigh K1 Wearable robots K1 Bayes methods K1 Steady-state K1 Kalman filters SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/BioRob52689.2022.9925504 DO https://doi.org/10.1109/BioRob52689.2022.9925504 SF ELIB - SuUB Bremen
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