Map Navigation Using Hand Gesture Recognition: a Case Study Using MYO Connector on Apple Maps.
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFPel - Guaiaca |
Texto Completo: | http://guaiaca.ufpel.edu.br/handle/prefix/7306 https://doi.org/10.1016/j.procs.2015.08.008 |
Resumo: | The effect of user experience on user satisfaction metrics in using MYO armband (hand gesture navigation) to control interactive maps and various other applications is still in a research state. In general, usability can be measured in terms of effectiveness, efficiency and satisfaction based on the metrics-task completion, error counts, task times and satisfaction scores. In this paper, we considered only satisfaction metrics. A simple and widely used System Usability Scale (SUS) questionnaire model is implemented to suggest some guidelines about the use of MYO armband. Another questionnaire, with a focus on ergonomic issues related to the use of the device such as Social Acceptability, Ease of use and ease of learning, Comfort and Stress, attempted do discover characteristics of hand gesture navigation using MYO. The results of this study can be used in a way to support the development of interactive maps using hand gesture navigation. |
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2021-04-05T15:13:56Z2021-04-05T15:13:56Z2015SATHIYANARAYANAN, Mithileysh ; MULLING, Tobias Tessmann. Map Navigation Using Hand Gesture Recognition: A Case Study Using MYO Connector on Apple Maps. Procedia Computer Science, v. 58, p. 50-57, 2015. Disponível em: https://reader.elsevier.com/reader/sd/pii/S1877050915021195?token=4B8D6F3AFC72DDD424236E844F1C860F936B491742A26DBEA3F877EC5BD245FE940C75ABBD3F98A7A89F79D1A398E342. Acesso em: 25 de março de 2021.http://guaiaca.ufpel.edu.br/handle/prefix/7306https://doi.org/10.1016/j.procs.2015.08.008The effect of user experience on user satisfaction metrics in using MYO armband (hand gesture navigation) to control interactive maps and various other applications is still in a research state. In general, usability can be measured in terms of effectiveness, efficiency and satisfaction based on the metrics-task completion, error counts, task times and satisfaction scores. In this paper, we considered only satisfaction metrics. A simple and widely used System Usability Scale (SUS) questionnaire model is implemented to suggest some guidelines about the use of MYO armband. Another questionnaire, with a focus on ergonomic issues related to the use of the device such as Social Acceptability, Ease of use and ease of learning, Comfort and Stress, attempted do discover characteristics of hand gesture navigation using MYO. The results of this study can be used in a way to support the development of interactive maps using hand gesture navigation.engElsevierInteractive mapsGesture interactionMYO armbandHuman motionusabilityMap Navigation Using Hand Gesture Recognition: a Case Study Using MYO Connector on Apple Maps.info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleMülling, Tobias TessmannSathiyanarayanan, Mithileyshinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFPel - Guaiacainstname:Universidade Federal de Pelotas (UFPEL)instacron:UFPELTEXTMap_Navigation_Using_Hand_Gesture_Recognition.pdf.txtMap_Navigation_Using_Hand_Gesture_Recognition.pdf.txtExtracted texttext/plain2048http://guaiaca.ufpel.edu.br/xmlui/bitstream/prefix/7306/6/Map_Navigation_Using_Hand_Gesture_Recognition.pdf.txte1caac292d66f92637c1b9d73ea4668cMD56open accessTHUMBNAILMap_Navigation_Using_Hand_Gesture_Recognition.pdf.jpgMap_Navigation_Using_Hand_Gesture_Recognition.pdf.jpgGenerated Thumbnailimage/jpeg1183http://guaiaca.ufpel.edu.br/xmlui/bitstream/prefix/7306/7/Map_Navigation_Using_Hand_Gesture_Recognition.pdf.jpg7fdc2063daa447e4355a4e843c1268ecMD57open accessORIGINALMap_Navigation_Using_Hand_Gesture_Recognition.pdfMap_Navigation_Using_Hand_Gesture_Recognition.pdfapplication/pdf1111249http://guaiaca.ufpel.edu.br/xmlui/bitstream/prefix/7306/1/Map_Navigation_Using_Hand_Gesture_Recognition.pdf17754c4b24313b2a270b2cb8a5e45adbMD51open accessCC-LICENSElicense_urllicense_urltext/plain; charset=utf-849http://guaiaca.ufpel.edu.br/xmlui/bitstream/prefix/7306/2/license_url4afdbb8c545fd630ea7db775da747b2fMD52open accesslicense_textlicense_texttext/html; charset=utf-80http://guaiaca.ufpel.edu.br/xmlui/bitstream/prefix/7306/3/license_textd41d8cd98f00b204e9800998ecf8427eMD53open accesslicense_rdflicense_rdfapplication/rdf+xml; charset=utf-80http://guaiaca.ufpel.edu.br/xmlui/bitstream/prefix/7306/4/license_rdfd41d8cd98f00b204e9800998ecf8427eMD54open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-867http://guaiaca.ufpel.edu.br/xmlui/bitstream/prefix/7306/5/license.txtfbd6c74465857056e3ca572d7586661bMD55open accessprefix/73062023-07-13 03:23:02.638open accessoai:guaiaca.ufpel.edu.br:prefix/7306VG9kb3Mgb3MgaXRlbnMgZGVzc2EgY29tdW5pZGFkZSBzZWd1ZW0gYSBsaWNlbsOnYSBDcmVhdGl2ZSBDb21tb25zLg==Repositório InstitucionalPUBhttp://repositorio.ufpel.edu.br/oai/requestrippel@ufpel.edu.br || repositorio@ufpel.edu.br || aline.batista@ufpel.edu.bropendoar:2023-07-13T06:23:02Repositório Institucional da UFPel - Guaiaca - Universidade Federal de Pelotas (UFPEL)false |
dc.title.pt_BR.fl_str_mv |
Map Navigation Using Hand Gesture Recognition: a Case Study Using MYO Connector on Apple Maps. |
title |
Map Navigation Using Hand Gesture Recognition: a Case Study Using MYO Connector on Apple Maps. |
spellingShingle |
Map Navigation Using Hand Gesture Recognition: a Case Study Using MYO Connector on Apple Maps. Mülling, Tobias Tessmann Interactive maps Gesture interaction MYO armband Human motionusability |
title_short |
Map Navigation Using Hand Gesture Recognition: a Case Study Using MYO Connector on Apple Maps. |
title_full |
Map Navigation Using Hand Gesture Recognition: a Case Study Using MYO Connector on Apple Maps. |
title_fullStr |
Map Navigation Using Hand Gesture Recognition: a Case Study Using MYO Connector on Apple Maps. |
title_full_unstemmed |
Map Navigation Using Hand Gesture Recognition: a Case Study Using MYO Connector on Apple Maps. |
title_sort |
Map Navigation Using Hand Gesture Recognition: a Case Study Using MYO Connector on Apple Maps. |
author |
Mülling, Tobias Tessmann |
author_facet |
Mülling, Tobias Tessmann Sathiyanarayanan, Mithileysh |
author_role |
author |
author2 |
Sathiyanarayanan, Mithileysh |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Mülling, Tobias Tessmann Sathiyanarayanan, Mithileysh |
dc.subject.por.fl_str_mv |
Interactive maps Gesture interaction MYO armband Human motionusability |
topic |
Interactive maps Gesture interaction MYO armband Human motionusability |
description |
The effect of user experience on user satisfaction metrics in using MYO armband (hand gesture navigation) to control interactive maps and various other applications is still in a research state. In general, usability can be measured in terms of effectiveness, efficiency and satisfaction based on the metrics-task completion, error counts, task times and satisfaction scores. In this paper, we considered only satisfaction metrics. A simple and widely used System Usability Scale (SUS) questionnaire model is implemented to suggest some guidelines about the use of MYO armband. Another questionnaire, with a focus on ergonomic issues related to the use of the device such as Social Acceptability, Ease of use and ease of learning, Comfort and Stress, attempted do discover characteristics of hand gesture navigation using MYO. The results of this study can be used in a way to support the development of interactive maps using hand gesture navigation. |
publishDate |
2015 |
dc.date.issued.fl_str_mv |
2015 |
dc.date.accessioned.fl_str_mv |
2021-04-05T15:13:56Z |
dc.date.available.fl_str_mv |
2021-04-05T15:13:56Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
SATHIYANARAYANAN, Mithileysh ; MULLING, Tobias Tessmann. Map Navigation Using Hand Gesture Recognition: A Case Study Using MYO Connector on Apple Maps. Procedia Computer Science, v. 58, p. 50-57, 2015. Disponível em: https://reader.elsevier.com/reader/sd/pii/S1877050915021195?token=4B8D6F3AFC72DDD424236E844F1C860F936B491742A26DBEA3F877EC5BD245FE940C75ABBD3F98A7A89F79D1A398E342. Acesso em: 25 de março de 2021. |
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http://guaiaca.ufpel.edu.br/handle/prefix/7306 |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1016/j.procs.2015.08.008 |
identifier_str_mv |
SATHIYANARAYANAN, Mithileysh ; MULLING, Tobias Tessmann. Map Navigation Using Hand Gesture Recognition: A Case Study Using MYO Connector on Apple Maps. Procedia Computer Science, v. 58, p. 50-57, 2015. Disponível em: https://reader.elsevier.com/reader/sd/pii/S1877050915021195?token=4B8D6F3AFC72DDD424236E844F1C860F936B491742A26DBEA3F877EC5BD245FE940C75ABBD3F98A7A89F79D1A398E342. Acesso em: 25 de março de 2021. |
url |
http://guaiaca.ufpel.edu.br/handle/prefix/7306 https://doi.org/10.1016/j.procs.2015.08.008 |
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eng |
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Elsevier |
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Elsevier |
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