Fuzzy logic based intention recognition in STS processes
dc.contributor.author | Lu, Hang | en |
dc.contributor.author | Li, Dayou | en |
dc.contributor.author | Qiu, Renxi | en |
dc.date.accessioned | 2017-02-27T11:48:46Z | |
dc.date.available | 2017-02-27T11:48:46Z | |
dc.date.issued | 2017-01-19 | |
dc.identifier.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.. | en |
dc.identifier.isbn | 9781509029457 | |
dc.identifier.doi | 10.1109/3M-NANO.2016.7824947 | |
dc.identifier.uri | http://hdl.handle.net/10547/622034 | |
dc.description.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. | |
dc.language.iso | en | en |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en |
dc.relation.url | http://ieeexplore.ieee.org/document/7824947/ | en |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | fuzzy logic | en |
dc.subject | force | en |
dc.subject | robots | en |
dc.subject | fuzzy sets | en |
dc.subject | uncertainty | en |
dc.title | Fuzzy logic based intention recognition in STS processes | en |
dc.title.alternative | 2016 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO) | en |
dc.type | Conference papers, meetings and proceedings | en |
dc.contributor.department | University of Bedfordshire | en |
dc.date.updated | 2017-02-27T11:28:07Z | |
html.description.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. |