Fuzzy logic based intention recognition in STS processes

2.50
Hdl Handle:
http://hdl.handle.net/10547/622034
Title:
Fuzzy logic based intention recognition in STS processes
Authors:
Lu, Hang; Li, Dayou; Qiu, Renxi
Other Titles:
2016 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO)
Abstract:
This 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.
Affiliation:
University of Bedfordshire
Citation:
Lu 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..
Publisher:
Institute of Electrical and Electronics Engineers Inc.
Issue Date:
19-Jan-2017
URI:
http://hdl.handle.net/10547/622034
DOI:
10.1109/3M-NANO.2016.7824947
Additional Links:
http://ieeexplore.ieee.org/document/7824947/
Type:
Conference papers, meetings and proceedings
Language:
en
ISBN:
9781509029457
Appears in Collections:
Engineering

Full metadata record

DC FieldValue Language
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.en
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-
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