Kinect sensor used as a support tool in clinical analysis
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 att...
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| Principais autores: | , , , , |
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| Formato: | article |
| Idioma: | English |
| Publicado em: |
Elsevier
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| Assuntos: | |
| Endereço do item: | https://repositorio.ufrn.br/jspui/handle/123456789/29473 |
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| 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 |
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