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dc.contributor.authorLu, Hangen
dc.contributor.authorLi, Dayouen
dc.contributor.authorQiu, Renxien
dc.date.accessioned2017-02-27T11:48:46Z
dc.date.available2017-02-27T11:48:46Z
dc.date.issued2017-01-19
dc.identifier.citationLu H., Li D., Qiu R. (2017) 'Fuzzy logic based intention recognition in STS processes', 2016 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale, Institute of Electrical and Electronics Engineers Inc..en
dc.identifier.isbn9781509029457
dc.identifier.doi10.1109/3M-NANO.2016.7824947
dc.identifier.urihttp://hdl.handle.net/10547/622034
dc.description.abstractThis paper represents a fuzzy logic based classifier that is able to recognise human users' intention of standing up from their behaviours in terms of the force they apply to the ground. The research reported focused on the selection of meaningful input data to the classifier and on the determination of fuzzy sets that best represent the intention information hidden in the force data. The classifier is a component of a robot chair which provides the users with assistance to stand up based on the recognised intention by the classifier.
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en
dc.relation.urlhttp://ieeexplore.ieee.org/document/7824947/en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectfuzzy logicen
dc.subjectforceen
dc.subjectrobotsen
dc.subjectfuzzy setsen
dc.subjectuncertaintyen
dc.titleFuzzy logic based intention recognition in STS processesen
dc.title.alternative2016 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO)en
dc.typeConference papers, meetings and proceedingsen
dc.contributor.departmentUniversity of Bedfordshireen
dc.date.updated2017-02-27T11:28:07Z
html.description.abstractThis paper represents a fuzzy logic based classifier that is able to recognise human users' intention of standing up from their behaviours in terms of the force they apply to the ground. The research reported focused on the selection of meaningful input data to the classifier and on the determination of fuzzy sets that best represent the intention information hidden in the force data. The classifier is a component of a robot chair which provides the users with assistance to stand up based on the recognised intention by the classifier.


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