Preliminary Evaluation of Intention Estimation Algorithms for an Actuated Lower-Limb Exoskeleton

dc.contributor.authorChandrapal, M.
dc.contributor.authorChen, X.Q.
dc.contributor.authorWang, W.H.
dc.contributor.authorStanke, B.
dc.contributor.authorLe Pape, N.
dc.date.accessioned2015-06-22T21:34:14Z
dc.date.available2015-06-22T21:34:14Z
dc.date.issued2013en
dc.description.abstractThis paper describes the experimental testing of an actuated lower-limb exoskeleton. The exoskeleton is designed to alleviate the loading at the knee joint by supplying assistive torque. It is hypothesized that the support provided will reduce the muscular effort required to perform activities of daily living and thus facilitate the execution of these movements by those who previously had limited mobility. The exoskeleton is actuated by four pneumatic artificial muscles, each providing 150N of pulling force to assist in the flexion and extension of the knee joint. The exoskeleton system estimates the user’s intended motion using muscle activity information recorded from five thigh muscles, together with the knee angle. To experimentally evaluate the performance of the device, the exoskeleton was worn by an able-bodied user, whilst performing the sit-to-stand-to-sit movement. In addition, the three intention estimation algorithms were also tested to determine the influence of the various algorithms on the support provided. The results show a significant reduction in the user’s muscle activity ( 20%) when assisted by the exoskeleton in a predictable manner.en
dc.identifier.citationChandrapal, M., Chen, X.Q., Wang, W.H., Stanke, B., Le Pape, N. (2013) Preliminary Evaluation of Intention Estimation Algorithms for an Actuated Lower-Limb Exoskeleton. International Journal of Advanced Robotic Systems, Vol. 10(147:2013), pp. 10 pp.en
dc.identifier.doihttps://doi.org/10.5772/56063
dc.identifier.urihttp://hdl.handle.net/10092/10529
dc.language.isoen
dc.publisherUniversity of Canterbury. Mechanical Engineeringen
dc.rights.urihttps://hdl.handle.net/10092/17651en
dc.subjectEMG-to-Forceen
dc.subjectexoskeletonen
dc.subjectartificial neural networksen
dc.subjectdifferential evolutionen
dc.subject.anzsrcFields of Research::40 - Engineering::4003 - Biomedical engineering::400303 - Biomechanical engineeringen
dc.titlePreliminary Evaluation of Intention Estimation Algorithms for an Actuated Lower-Limb Exoskeletonen
dc.typeJournal Article
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