Kinect sensor used as a support tool in clinical analysis
dc.contributor.author | Albuquerque, Alessandro de | |
dc.contributor.author | Moura, Elton | |
dc.contributor.author | Vasconcelos, Tomás | |
dc.contributor.author | Mendes, Luciana de Andrade | |
dc.contributor.author | Nagem, Danilo Alves Pinto | |
dc.date.accessioned | 2020-07-07T12:44:51Z | |
dc.date.available | 2020-07-07T12:44:51Z | |
dc.date.issued | 2012-07-19 | |
dc.description.resumo | In recent years, non-invasive techniques such as computed tomography (TC) and magnetic resonance imaging (MRI) have been assuming great importance in clinical practice e.g. [Luigi, 2011]. The development of a low cost noninvasive sensor to be use in physiotherapy clinics and as a diagnostic tool attracts relevant interest due to its high precision in comparison to non-automated methods allowing the reduction of error during quick exams and the digital storage of data for future comparison. In the works in development in LAIS/UFRN (Laboratory of Technological Innovation in Health of the Federal University of Rio Grande do Norte, Brasil) the Kinect® sensor has been used to help the development of rehabilitation exoskeleton device to diagnoses dyslexia and to create a 3D mapping of physically deformed members. The sensor may offer portable 3-D motion capture capabilities that overcome the limitations of existing systems e.g. [Tilak, 2011]. Also, it does not have the disadvantages of laser so it can be used in human environment and facilitate the research in human detection e.g. [Xia, 2011]. Besides that they don’t provide the necessary mobility because the bulky mechanisms and there high maintenance costs. Based on that this paper presents the firsts attempt to use Kinect® sensors for multi-body tracking substituting traditional methods of clinical analysis in LAIS/UFRN | pt_BR |
dc.identifier.citation | ALBUQUERQUE, A.; MOURA, E.; VASCONCELOS, T.; MENDES, L.A.; NAGEM, D.A.P.. Kinect sensor used as a support tool in clinical analysis. Journal of Biomechanics, v. 45, p. S304, 2012. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0021929012703056?via%3Dihub. Acesso em: 05 jul. 2020. https://doi.org/10.1016/S0021-9290(12)70305-6 | pt_BR |
dc.identifier.doi | 10.1016/S0021-9290(12)70305-6 | |
dc.identifier.issn | 0021-9290 | |
dc.identifier.uri | https://repositorio.ufrn.br/jspui/handle/123456789/29473 | |
dc.language | en | pt_BR |
dc.publisher | Elsevier | pt_BR |
dc.rights | Attribution 3.0 Brazil | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/br/ | * |
dc.subject | Kinect sensor | pt_BR |
dc.title | Kinect sensor used as a support tool in clinical analysis | pt_BR |
dc.type | article | pt_BR |
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