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[{"key": "dc.contributor.advisor", "value": "Hakala, Ismo", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Hellman, Leena", "language": "", "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2023-06-09T05:53:23Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2023-06-09T05:53:23Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2023", "language": "", "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/87589", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Ihmisten liikkeiden tunnistusta k\u00e4ytet\u00e4\u00e4n erilaisissa valvontaan ja \u00e4lykoteihin\nliittyviss\u00e4 ratkaisuissa. Liikkeen tunnistukseen voidaan k\u00e4ytt\u00e4\u00e4 erilaisia\nsensoreita. Viime aikoina erityisesti tutkasensorilla tapahtuva liikkeen tunnistus on\nollut mielenkiinnon kohteena. Tutka toimii valaistusolosuhteista riippumatta, havaitsee\nliikkeit\u00e4 seinien l\u00e4pi eik\u00e4 se loukkaa ihmisen yksityisyydensuojaa kuten\nkamera. Tutka l\u00e4hett\u00e4\u00e4 elektromagneettista aaltoa, joka heijastuu kohteesta takaisin.\nT\u00e4st\u00e4 palanneesta signaalista voidaan saada erilaista tietoa esimerkiksi kohteen\nnopeudesta, et\u00e4isyydest\u00e4 ja kulmasta suhteessa tutkaan. Syv\u00e4oppiminen on tuonut\nuusia mahdollisuuksia k\u00e4sitell\u00e4 suuria m\u00e4\u00e4ri\u00e4 dataa ja tehd\u00e4 aineiston luokitusta\nilman manuaalista aineiston l\u00e4pik\u00e4ynti\u00e4. Tutkan tuottamasta datasta voidaan\nmuodostaa kuvamuotoista dataa, joka sopii erityisen hyvin konvoluutioneuroverkkoa\nhy\u00f6dynt\u00e4ville syv\u00e4oppimismalleille. T\u00e4ss\u00e4 ty\u00f6ss\u00e4 tutustutaan millimetriaaltotutkan\nja syv\u00e4oppimisen mahdollisuuksiin liikkeiden tunnistuksessa k\u00e4ytt\u00e4en vapaasti\nladattavissa olevaa PARrad-aineistoa, johon on koottuna yhteens\u00e4 14 eri liikett\u00e4\n24 henkil\u00f6n suorittamana ja useissa eri mittaustilanteissa kahden eri tutkan\nhavainnoimana. Ty\u00f6ss\u00e4 implementoidaan kolme erilaista konvoluutioneuroverkkomallia\nja vertaillaan n\u00e4iden suorituskyky\u00e4. Lis\u00e4ksi ty\u00f6 tarjoaa n\u00e4k\u00f6kulman hy\u00f6dynt\u00e4\u00e4\nTinyML-konseptia mallin optimoinnissa ja siirt\u00e4misess\u00e4 langattomaan sensoriverkkoon\nmikrokontrollerin k\u00e4ytt\u00f6\u00f6n. Malleista parhaimmaksi osoittautui malli, joka\noli opetettu k\u00e4ytt\u00e4en data-augmentaatiolla lis\u00e4tty\u00e4 aineistoa. Virheett\u00f6myydeksi\nsaatiin parhaimmalla mallilla 87%:n tulos.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by Miia Hakanen (mihakane@jyu.fi) on 2023-06-09T05:53:23Z\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2023-06-09T05:53:23Z (GMT). No. of bitstreams: 0\n Previous issue date: 2023", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "86", "language": "", "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.language.iso", "value": "fin", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": null, "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.subject.other", "value": "konvoluutioneuroverkko", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "Tutkasensorin ja syv\u00e4oppimisen hy\u00f6dynt\u00e4minen liikkeen tunnistuksessa", "language": "", "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "master thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-202306093658", "language": "", "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Master\u2019s thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Pro gradu -tutkielma", "language": "fi", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Informaatioteknologian tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Information Technology", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Informaatioteknologia", "language": "fi", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Information Technology", "language": "en", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Tietotekniikka", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Mathematical Information Technology", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "yvv.contractresearch.funding", "value": "0", "language": "", "element": "contractresearch", "qualifier": "funding", "schema": "yvv"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_bdcc", "language": null, "element": "type", "qualifier": "coar", "schema": "dc"}, {"key": "dc.rights.copyright", "value": "\u00a9 The Author(s)", "language": null, "element": "rights", "qualifier": "copyright", "schema": "dc"}, {"key": "dc.rights.accesslevel", "value": "openAccess", "language": null, "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "masterThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.subject.oppiainekoodi", "value": "602", "language": "", "element": "subject", "qualifier": "oppiainekoodi", "schema": "dc"}, {"key": "dc.subject.yso", "value": "liikkeentunnistus", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "syv\u00e4oppiminen", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "tutkat", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "neuroverkot", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "teko\u00e4ly", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "koneoppiminen", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "sensoriverkot", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://rightsstatements.org/page/InC/1.0/", "language": null, "element": "rights", "qualifier": "url", "schema": "dc"}]
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