Sensor-fault tolerant control of a powered lower limb prosthesis by mixing mode-specific adaptive Kalman filters

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 3696-3699

  Dutta, Anirban ^a   Koerding, Konrad ^b   Perreault, Eric ^c   Hargrove, Levi ^d  

^a UNIVERSITY OF GÖTTINGEN   (Germany)

^b NORTHWESTERN UNIVERSITY   (United States)

^c Northwestern University   (United States)

^d NORTHWESTERN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE KALMAN FILTER; ARTIFICIAL KNEE; BAYESIAN FRAMEWORKS; CLOSED-LOOP BEHAVIOR; CONTROL INFORMATION; LOWER LIMB PROSTHESIS; MACHINE INTERFACES; MACHINE LEARNING METHODS; NOVEL ALGORITHM; PROCESS STATE; SENSOR FAULT; SENSOR INFORMATIONS; SENSORIMOTOR SYSTEMS;

ALGORITHMS; KALMAN FILTERS; LEARNING SYSTEMS; SENSORS;

PROSTHETICS;

ARTICLE; BAYES THEOREM; HUMAN; LIMB PROSTHESIS; PROBABILITY; THEORETICAL MODEL;

ARTIFICIAL LIMBS; BAYES THEOREM; HUMANS; MODELS, THEORETICAL; PROBABILITY;

EID: 84055192572     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6090626     Document Type: Conference Paper

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