Realidade aumentada móvel aplicada na navegação indoor para cadeirantes

• Autor(a) principal: Oliveira, Luciene Chagas de
• Data de Publicação: 2017
• Tipo de documento: Tese
• Idioma: por
• Título da fonte: Repositório Institucional da UFU
• Texto Completo: https://repositorio.ufu.br/handle/123456789/19236; http://doi.org/10.14393/ufu.te.2017.122
• topic: Engenharia elétrica; Deficientes - Orientação e mobilidade; Realidade aumentada; realidade aumentada móvel; Navegação indoor; Cadeirantes; Mobile augmented reality; Indoor navigation; Wheelchair users; CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA

Physical deficiency is an obstacle to the afflicted individual, as they are deprived from realizing routine activities, without the help of others. For many, the use of wheelchairs is fundamental to providing mobility and social inclusion. However, these individuals still come up against a series of challenges in order to improve their life quality. Among the many difficulties, one in particular is highlighted: navigation in indoor environments buildings, such as localizing the shortest and best route for arriving at a desired destination. In the context of the Information Society, the use of pervasive computation and intelligent environments have application potential in supporting navigation assisted by mobile devices. In this scenario, it is noted that there exist a sparse quantity of applications capable of attending to the special needs of wheelchair users. Therefore, this study considers the hypothesis that other technologies, such as Mobile Augmented Reality (AR), possess the potential to facilitate the navigation of wheelchair users in indoor environments. In light of the above, the main motive behind this research study is to investigate computational techniques that support the use of indoor navigation based on Mobile AR, especially those which possess total control over their upper limbs. In order to achieve such, this work study proposes an architecture to support the development of these applications. Experiments were performed with wheelchair user volunteers. These interacted with an application via touch or voice commands in order to navigate within a test environment. This environment proposes the use of navigation arrows through use of AR. The features implemented onto the proposed architecture were capable of providing significant benefits for indoor navigation. Especially, when compared to traditional techniques.