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[{"key": "dc.contributor.advisor", "value": "Linnamo, Vesa", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.advisor", "value": "V\u00e4nttinen, Tomi", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Multasuo, Jukka-Pekka", "language": "", "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2019-09-16T05:15:57Z", "language": "", "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2019-09-16T05:15:57Z", "language": "", "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2019", "language": "", "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/65514", "language": "", "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Uintivalmennuksessa teknologian k\u00e4ytt\u00f6 ei ole yht\u00e4 yleist\u00e4 kuin monessa muussa kilpaillussa urheilulajissa. Yksi merkitt\u00e4v\u00e4 syy t\u00e4h\u00e4n on k\u00e4yt\u00f6ss\u00e4 olevan mittausteknologian heikko soveltuvuus veden alla ja pinnan l\u00e4hell\u00e4 teht\u00e4viin mittauksiin. Uintiharjoituksessa yksi valmentaja ohjaa usein useampaa uimaria kerrallaan, joten eri yksil\u00f6iden suoritusten seuraaminen ja ohjaaminen on haasteellista. Valmennuksellisesti t\u00e4rke\u00e4\u00e4 on pysty\u00e4 tunnistamaan uimarin v\u00e4syminen harjoituksen aikana. V\u00e4symist\u00e4 indikoivia muuttujia ovat mm. vetotiheyden ja -pituuden muutokset sek\u00e4 uintiasennon ja liikeratojen muuttuminen suorituksen aikana. Inertiamittalaitteiden yleistymisen ja langattoman tiedonsiirtoteknologian kehittymisen my\u00f6t\u00e4 valmennusty\u00f6h\u00f6n on tarjolla lis\u00e4\u00e4 ty\u00f6kaluja perinteisten sekuntikellojen ja videokuvan lis\u00e4ksi. T\u00e4ss\u00e4 tutkimuksessa selvitettiin, kuinka inertiamittalaite (IMU) soveltuu kilpauinnin analysoimiseen.\r\nAlkuvuodesta 2017 markkinoille tullutta Movesense-inertiamittalaitetta (Suunto Oy Amer Sports, Helsinki) tutkittiin kilpauinnin valmennusk\u00e4yt\u00f6ss\u00e4 kehitt\u00e4m\u00e4ll\u00e4 sille mittausj\u00e4rjestely ja data-analyysimenetelm\u00e4. Mittaaminen tapahtui sijoittamalla mittalaite uimarin uimalakin alle ja asemoimalla se takaraivokyhmyn p\u00e4\u00e4lle uintisuorituksen ajaksi. Yhteens\u00e4 yksitoista t\u00e4ysi-ik\u00e4ist\u00e4 mies- (N = 6) ja naiskilpauimaria (N = 5) uivat yhden 200 metrin sekauintisuorituksen 25 metrin altaassa noin 80 %:n submaksimaalisella teholla. Suoritukset taltioitiin k\u00e4yt\u00f6ss\u00e4 olleella mittalaitteella sek\u00e4 katsomosta k\u00e4sin seuraavalla videokameralla. Langattoman yhteyden hy\u00f6dynt\u00e4minen osoittautui mahdottomaksi tutkimuksessa k\u00e4ytetyll\u00e4 laitteistolla, joten reaaliaikaista mittaustietoa ei tutkimuksessa voitu tuottaa. Mittalaitteen tallentamat tiedot analysoitiin ja signaalit prosessoitiin muotoon, josta voitiin ohjelmallisesti luokitella uintitekniikkaa ja laskea vetom\u00e4\u00e4ri\u00e4 ja kierrosaikoja. Mittausmenetelm\u00e4n tarkkuuden validoimisessa k\u00e4ytettiin videokuvasta tehty\u00e4 liikeanalyysi\u00e4.\r\nTallennetuista mittauksista voitiin tunnistaa nelj\u00e4 uintitekniikkaa 83 %:n keskim\u00e4\u00e4r\u00e4isell\u00e4 tarkkuudella (uimarikohtainen hajonta 57\u201396 %). Signaalien muodoista voitiin laskea 25 metrin kierrosaikoja (0,15 \u00b1 3,2) s keskim\u00e4\u00e4r\u00e4isell\u00e4 tarkkuudella ja vetosyklien lukum\u00e4\u00e4r\u00e4inen tunnistamistarkkuus oli (94 \u00b1 7,8) %, joka vastaa 3,6 vetosyklin puuttumista 200 metrin sekauintisuoritusta kohden. Signaalien muodoissa havaittiin yksil\u00f6llist\u00e4 vaihtelua ja havaittiin kulmanopeussignaalien korreloivan rintauintinopeuden kanssa (naiset: r = 0,96 ja miehet: r = 0,94).\r\nJatkossa luotettavuuden kannalta olisi t\u00e4rke\u00e4\u00e4 selvitt\u00e4\u00e4 menetelm\u00e4n toistettavuutta ja eri tasoisten ryhmien v\u00e4lisi\u00e4 eroja. Validoinnissa k\u00e4ytett\u00e4v\u00e4n aineiston tulisi sis\u00e4lt\u00e4\u00e4 my\u00f6s vedenalaista liikett\u00e4 ja k\u00e4\u00e4nn\u00f6sten tunnistaminen olisi hyv\u00e4 todentaa kilpailuissa k\u00e4ytett\u00e4v\u00e4ll\u00e4 ajanottomenetelm\u00e4ll\u00e4. Tutkimuksessa k\u00e4ytetty mittauslaitteisto ja menetelm\u00e4 antoivat kuitenkin positiivisia viitteit\u00e4 siit\u00e4, ett\u00e4 systeemi\u00e4 on mahdollista kehitt\u00e4\u00e4 siten, ett\u00e4 se sopii uinnin p\u00e4ivitt\u00e4iseksi valmennusty\u00f6kaluksi.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Utilization of measurement technology in swim coaching is not as common base as in many other competitive sports. One major issue for this has been the usability of measurement technologies under and on the surface layer of the water. In daily practice, it is rather typical that there are several swimmers supervised by the same coach meaning that the focus for individual swimmer is compromised. Therefore, it is important to develop methods so that the coach could monitor and track any unwanted activities during the daily practice. There are known indicators which show swimmers exhaustion like changes in stroke rate and length as well as the pose and range of the movements. As the inertial measurement tools are becoming more widespread and the wireless communication technologies are advancing, it is apparent that there could be more useful tools for the swim coaching other than the stop watches and video analysis alone. In this thesis, a novel inertial measurement unit (IMU) based system to analyze swimming was developed and tested with a group of competitive swimmers.\r\nThe study was carried out with a Movesense (IMU) sensor (Suunto Oy Amer Sports, Helsinki) released in the year 2017. An analysis tool and a measurement system were developed to investigate the possibilities to use it as a competitive swimming coaching tool. During the measurements, the sensor was placed under the swim cap on the inion occipital bone. In total of eleven adult men (N = 6) and women (N = 5) competitive swimmers performed one 200-meter medley with 80 % submaximal effort. Performances were recorded with the IMU sensor and a video camera placed in the stand beside the pool. Wireless communication was not applicable in the present measurement setting and thus a real-time data could not be utilized. Signals extracted from the sensor recordings were post-processed and classified to identify and calculate the swimming performances. Video recordings were used for the validation purposes.\r\nRecorded and manually processed measurements were used in stroke classification where total accuracy of 83 % were achieved (individual swimmers 57\u201396 %). With a signal processing tools, it was possible to identify and calculate 25m lap times within (0,15 \u00b1 3,2) s average accuracy and stroke count accuracy of (94 \u00b1 7,8) % was reported which equals in average of 3,6 missed strokes in 200-meter medley. Analysis of signal shapes showed individual variations and a correlation (female r = 0,96 and male r = 0,94) between angle speed sensor signals with breaststroke swimming speed was noticed.\r\nIn order to improve the reliability, it is recommended to investigate the repeatability of the method and impacts on different level groups. More important is to ensure the good quality of the validation material by adding underwater motion analysis and lap time analysis should be validated with official competition methods. The measurement setting and the used method provided positive indication about the capability of the system as a daily swimming coaching tool.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by Miia Hakanen (mihakane@jyu.fi) on 2019-09-16T05:15:57Z\r\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2019-09-16T05:15:57Z (GMT). No. of bitstreams: 0\r\n Previous issue date: 2019", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "91", "language": "", "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.format.mimetype", "value": "application/pdf", "language": null, "element": "format", "qualifier": "mimetype", "schema": "dc"}, {"key": "dc.language.iso", "value": "fin", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": "en", "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.title", "value": "Inertiamittalaitteen k\u00e4ytt\u00f6 uintimittarina : menetelm\u00e4n kehitys ja uinnin p\u00e4ivitt\u00e4isvalmennukseen soveltuvuuden testaaminen", "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-201909164160", "language": "", "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Pro gradu -tutkielma", "language": "fi", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Master\u2019s thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Liikuntatieteellinen tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Sport and Health Sciences", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Liikunta- ja terveystieteet", "language": "fi", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Sport and Health Sciences", "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": "Biomekaniikka", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Biomechanics", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "yvv.contractresearch.collaborator", "value": "public", "language": "", "element": "contractresearch", "qualifier": "collaborator", "schema": "yvv"}, {"key": "yvv.contractresearch.funding", "value": "0", "language": "", "element": "contractresearch", "qualifier": "funding", "schema": "yvv"}, {"key": "yvv.contractresearch.initiative", "value": "student", "language": "", "element": "contractresearch", "qualifier": "initiative", "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.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": "5012", "language": "", "element": "subject", "qualifier": "oppiainekoodi", "schema": "dc"}, {"key": "dc.subject.yso", "value": "teko\u00e4ly", "language": "", "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "valmennus", "language": "", "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "biomekaniikka", "language": "", "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "uinti", "language": "", "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "mittaus", "language": "", "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "liikeanalyysi", "language": "", "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.format.content", "value": "fulltext", "language": null, "element": "format", "qualifier": "content", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://rightsstatements.org/page/InC/1.0/", "language": null, "element": "rights", "qualifier": "url", "schema": "dc"}, {"key": "dc.type.okm", "value": "G2", "language": null, "element": "type", "qualifier": "okm", "schema": "dc"}]
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