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Hand gestures recognition for an intelligent wheelchair steering command

dc.contributor.authorAlmeida, Patrícia
dc.contributor.authorFaria, Brígida Mónica
dc.contributor.authorReis, Luís Paulo
dc.date.accessioned2023-04-12T15:20:30Z
dc.date.available2023-04-12T15:20:30Z
dc.date.issued2023
dc.description.abstractThe independence and autonomy of both elderly and dis abled people have been a growing concern of today’s society. Conse quently, the increase in life expectancy combined with the ageing of the population has created the ideal conditions for the introduction of Intelli gent Wheelchairs (IWs). For this purpose, several adapted sensors should be used to optimize the control of a wheelchair. During this work, the Leap Motion sensor was analyzed to convert the user’s will into one of four fundamental driving commands, move forward, turn right, left, or stop. Leap Motion aims to determine the direction to follow according to the hand gesture identified. For this task, data was collected from volunteers while they were performing certain gestures. Thereby it was possible to produce a data set that after being processed and extracted some features enabled the classification of the data with an F1-Score higher than 0.97. Additionally, when tested in a real-time application, this sensor reinforced its high performance.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationAlmeida, P., Faria, B.M., Reis, L.P. (2023). Hand Gestures Recognition for an Intelligent Wheelchair Steering Command. In: Tardioli, D., Matellán, V., Heredia, G., Silva, M.F., Marques, L. (eds) ROBOT2022: Fifth Iberian Robotics Conference. ROBOT 2022. Lecture Notes in Networks and Systems, vol 590. Springer, Cham. https://doi.org/10.1007/978-3-031-21062-4_4pt_PT
dc.identifier.doi 10.1007/978-3-031-21062-4_4pt_PT
dc.identifier.isbn978-3-031-21061-7
dc.identifier.isbn978-3-031-21062-4
dc.identifier.urihttp://hdl.handle.net/10400.22/22720
dc.language.isoengpt_PT
dc.publisherSpringerpt_PT
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-031-21062-4_4#citeaspt_PT
dc.subjectHand gesturespt_PT
dc.subjectLeap motionpt_PT
dc.subjectIntelligent wheelchairpt_PT
dc.titleHand gestures recognition for an intelligent wheelchair steering commandpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage12pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleROBOT2022: Fifth Iberian Robotics Conference pt_PT
oaire.citation.volume590pt_PT
person.familyNameFaria
person.givenNameBrigida Monica
person.identifierR-000-T1F
person.identifier.ciencia-id0D1F-FB5E-55E4
person.identifier.orcid0000-0003-2102-3407
person.identifier.ridC-6649-2012
person.identifier.scopus-author-id6506476517
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication85832a40-7ef9-431a-be0c-78b45ebbae86
relation.isAuthorOfPublication.latestForDiscovery85832a40-7ef9-431a-be0c-78b45ebbae86

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