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Case-based reasoning emulation of persons for wheelchair navigation.
| dc.contributor.author | Peula Palacios, José Manuel | |
| dc.contributor.author | Urdiales-García, Amalia Cristina | |
| dc.contributor.author | Herrero-Reder, Ignacio | |
| dc.contributor.author | Fernández-Carmona, Manuel | |
| dc.contributor.author | Sandoval-Hernández, Francisco | |
| dc.date.accessioned | 2024-10-03T10:12:57Z | |
| dc.date.available | 2024-10-03T10:12:57Z | |
| dc.date.issued | 2012 | |
| dc.identifier.uri | https://hdl.handle.net/10630/34269 | |
| dc.description | https://v2.sherpa.ac.uk/id/publication/12586 | es_ES |
| dc.description.abstract | Our approach is based on extracting meaningful data from real users driving a power wheelchair autonomously. This data is then used to train a case-based reasoning (CBR) system that captures the specifics of the driver via learning. The resulting case-base is then used to emulate the driving behavior of that specific person in more complex situations or when a new assistive algorithm needs to be tested. CBR returns user's motion commands appropriate for each specific situation to add the human component to shared control systems. | es_ES |
| dc.language.iso | eng | es_ES |
| dc.publisher | Elsevier | es_ES |
| dc.rights | info:eu-repo/semantics/openAccess | es_ES |
| dc.subject | Sillas de ruedas | es_ES |
| dc.subject | Inteligencia artificial - Aplicaciones médicas | es_ES |
| dc.subject.other | Case-based reasoning | es_ES |
| dc.subject.other | Behavior learning | es_ES |
| dc.subject.other | Behavior prediction | es_ES |
| dc.subject.other | User emulation | es_ES |
| dc.subject.other | Power wheelchair | es_ES |
| dc.title | Case-based reasoning emulation of persons for wheelchair navigation. | es_ES |
| dc.type | info:eu-repo/semantics/article | es_ES |
| dc.centro | E.T.S.I. Telecomunicación | es_ES |
| dc.identifier.doi | 10.1016/j.artmed.2012.08.007 | |
| dc.type.hasVersion | info:eu-repo/semantics/submittedVersion | es_ES |