Proposta de um ambiente virtual de apoio à reabilitação funcional de membros superiores utilizando o sensor de captura de movimentos da microsoft kinect
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Data
2013-09-18
Autores
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Universidade Federal de Goiás
Resumo
This study proposes a Virtual Environment to support the functional rehabilitation of the
upper limbs, using the Microsoft Kinect sensor motion capture. It is organized in five
chapters: 1) Use of Virtual Environments in the process of functional rehabilitation of people
affected by an Encephalic Vascular Accident; 2) Technologies used, 3) AVARFMS
development; 4) Discussion; 5) Conclusions. Sequelae of Encephalic Vascular Accident
impair the development of the Activities of Daily Living. Rehabilitation does not consist in a
process that seeks only the adaptation of the patient, but in a real effort with the goal of
promoting the development of people creative and inclusive functionality. With the
emergence of Virtual Environments and greater integration between the areas of rehabilitation
medicine and information systems as well as the appearance of low cost motion sensors
(Microsoft Kinect, for example), a new paradigm begins to be postulated between researchers
in these two areas: the study and development of virtual environments to assist in the
rehabilitation process. With the goal of providing a fun tool to patients who have been
affected by an encephalic vascular accident and offering therapists ways to measure
(qualitatively and quantitatively) the evolution of the patient treatment, it is proposed a virtual
environment that uses the motion sensor Kinect, created by Microsoft. The findings presented
in this study show that the proposed objectives were achieved.
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Palavras-chave
Acidente vascular encefálico, Reabilitação funcional, Ambientes virtuais de reabilitação, Sensor de movimento, Microsoft kinect®, Encephalic vascular accident, Functional Rehabilitation,, Virtual environments for rehabilitation,, Motion sensor, Microsoft kinect®.
Citação
LEOPOLDINO , Fabrício Leonard. Proposta de um ambiente virtual de apoio à reabilitação funcional de membros superiores utilizando o sensor de captura de movimentos da microsoft kinect. 2013. 161 f. Dissertação (Dissertação em Engenharia Elétrica e da Computação) - Universidade Federal de Goiás , Goiânia, 2013.