Robotic Hand Grasping of Objects Classified by Using Support Vector Machine and Bag of Visual Words

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dc.contributor.authorErgene, Mehmet Celalettin
dc.contributor.authorDurdu, Akif
dc.date.accessioned2020-03-26T19:42:32Z
dc.date.available2020-03-26T19:42:32Z
dc.date.issued2017
dc.departmentSelçuk Üniversitesien_US
dc.description2017 International Artificial Intelligence and Data Processing Symposium (IDAP) -- SEP 16-17, 2017 -- Malatya, TURKEYen_US
dc.description.abstractRecent statistics show that more than 10 million people in the world suffer amputation. Most of these people also have depression because of losing their hand, arm and leg movements. With current technology it is possible to give these people hands, arms and legs. Our aim is to give these people a chance to live. In this study we have designed a robotic hand in order to grasp objects. Grid based feature extraction and bag of words method are used to extract features from the images and the classification is made by support vector machine. There are three classes made; cups, pens, and staplers. So we can demonstrate a bureau environment and a handicapped person works in a bureau can grasp daily bureau materials in a real time application. We used a specific computer program toolbox to do software processes and a microprocessor to control the robotic hand. This paper just aims classification and grasping pens, cups, and staplers. However, with some improvements we believe such kind of prostheses can give a future to the handicapped people. We assume this study will be a step to a new and more advanced kind of prostheses than old traditional ones.en_US
dc.description.sponsorshipIEEE Turkey Sect, Anatolian Scien_US
dc.identifier.isbn978-1-5386-1880-6
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/35447
dc.identifier.wosWOS:000426868700068en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2017 INTERNATIONAL ARTIFICIAL INTELLIGENCE AND DATA PROCESSING SYMPOSIUM (IDAP)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectSupport vector machineen_US
dc.subjectbag of visual wordsen_US
dc.subjectrobotic handen_US
dc.subjectgraspingen_US
dc.subjectmachine learningen_US
dc.titleRobotic Hand Grasping of Objects Classified by Using Support Vector Machine and Bag of Visual Wordsen_US
dc.typeConference Objecten_US

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