An indoor navigation approach to aid the physically disabled people

Mirza, Ruquia; Tehseen, Ayesha; Kumar, Amod

doi:10.1109/icceet.2012.6203860

Cited by 14 publications

(15 citation statements)

References 7 publications

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“…It is important to highlight that the identification of the best routes associated with an algorithm to detect potential hazards related to wheelchair mobility were not handled by previous intelligent navigation systems (Cankaya et al, 2015;Deruwe and Wall, 2008;Dong et al, 2015;Kouroupetroglou, 2013;Mirza et al, 2012;Park et al, 2006;Postolache et al, 2011;Rovadosky et al, 2012;Stefanov et al, 2004). In fact, in when deriving the building's CAD drawing information, to be registered in the user´s smartphone, the location of rumps and stairs can also be taken into account with the proposed architecture, so that the optimized route identification algorithm can use such information to derive possible new routes.…”

Section: Discussionmentioning

confidence: 99%

“…Assistive Technology resources can be used to provide those people with various means to improve their quality of life and social inclusion (Santarosa et al, 2012). Mobility impairments are among the most common problems experienced by individuals with disabilities, affecting a wide range of the world population (Alm et al, 1998;Kouroupetroglou, 2013;Mirza et al, 2012;Sanchez et al, 2007;Tsetsos et al, 2006). Wheelchairs are commonly used assistive devices and, beyond providing mobility, allow for social inclusion and improved quality of life.…”

Section: Introductionmentioning

confidence: 99%

“…On many occasions, the task of steering the wheelchair may be already too demanding for some users, while for others, reaching the elevator call button or manipulating a portable device may not be possible at all. Despite the various efforts, current systems still lack proper features to fully overcome those limitations (Kouroupetroglou, 2013;Mirza et al, 2012;Tsetsos et al, 2006). Furthermore, the majority of the solutions described in the literature do not provide crucial environmental information to wheelchair users, such as information concerning access ramps, counters, shelves, furniture, stairs and elevators that define the internal space of a building.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Mobile Augmented Reality enhances indoor navigation for wheelchair users

et al. 2016

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Introduction: Individuals with mobility impairments associated with lower limb disabilities often face enormous challenges to participate in routine activities and to move around various environments. For many, the use of wheelchairs is paramount to provide mobility and social inclusion. Nevertheless, they still face a number of challenges to properly function in our society. Among the many difficulties, one in particular stands out: navigating in complex internal environments (indoors). The main objective of this work is to propose an architecture based on Mobile Augmented Reality to support the development of indoor navigation systems dedicated to wheelchair users, that is also capable of recording CAD drawings of the buildings and dealing with accessibility issues for that population. Methods: Overall, five main functional requirements are proposed: the ability to allow for indoor navigation by means of Mobile Augmented Reality techniques; the capacity to register and configure building CAD drawings and the position of fiducial markers, points of interest and obstacles to be avoided by the wheelchair user; the capacity to find the best route for wheelchair indoor navigation, taking stairs and other obstacles into account; allow for the visualization of virtual directional arrows in the smartphone displays; and incorporate touch or voice commands to interact with the application. The architecture is proposed as a combination of four layers: User interface; Control; Service; and Infrastructure. A proof-ofconcept application was developed and tests were performed with disable volunteers operating manual and electric wheelchairs. Results: The application was implemented in Java for the Android operational system. A local database was used to store the test building CAD drawings and the position of fiducial markers and points of interest. The Android Augmented Reality library was used to implement Augmented Reality and the Blender open source library handled the basis for implementing directional navigation arrows. OpenGL ES provided support for various graphics and mathematical transformations for embedded systems, such as smartphones. Experiments were performed in an academic building with various labs, classrooms and male and female bathrooms. Two disable volunteers using wheelchairs showed no difficulties to interact with the application, either by entering touch or voice commands, and to navigate within the testing environment with the help of the navigational arrows implemented by the augmented reality modules. Conclusion: The novel features implemented in the proposed architecture, with special emphasis on the use of Mobile Augmented Reality and the ability to identify the best routes free of potential hazards for wheelchair users, were capable of providing significant benefits for wheelchair indoor navigation when compared to current techniques described in the literature.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Mobile Augmented Reality enhances indoor navigation for wheelchair users

et al. 2016

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“…Lawn et al has investigated and modeled the use of a stair climbing wheelchair with high single step capability [34]. As per [35], an indoor navigation approach was discussed to aid the physically disabled. I this complete indoor house location is mapped into the system.…”

Section: Assistive Aids For Speech Disabledmentioning

confidence: 99%

Assistive aids for the disabled: Past, present and future

Chitranshi

Yadav

2014

2014 5th International Conference - Confluence the Next Generation Information Technology Summit (Confluence)

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Assistive aids have been made in the recent years to help the disabled. These include persons with visual, hearing, speech, locomotor and mental disabilities. If the technology continues to grow over the next few years the poor disabled population will have access to low cost assistive aids and may become more employable. This paper discusses the assistive aids that has been developed in the past, recent years, compares them and predicts the future assistive aids that will drive the technology for the disabled.

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“…In the past years there has been an increasing need for navigation assistance in indoor environments, because of the growing complexity and size of buildings. It can especially be helpful to wheelchair users, who are restricted in their routes, or for blind or partially sighted people, who are not always able to follow route signs (Mirza et al, 2012). Moreover Boguslawski et al (2016) stress the importance of up-to-date indoor models of complex buildings for disaster scenarios and emergency response.…”

Section: Introductionmentioning

confidence: 99%

Automatic Extraction of a Navigation Graph Intended for Indoorgml From an Indoor Point Cloud

Flikweert

Peters

Díaz-Vilariño

et al. 2019

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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<p><strong>Abstract.</strong> Indoor environments tend to be more complex and more populated when buildings are accessible to the public. The need for knowing where people are, how they can get somewhere or how to reach them in these buildings is thus equally increasing. In this research point clouds are used, obtained by dynamic laser scanning of a building, since we cannot rely on architectural drawings for maps and paths, which can be outdated. The presented method focuses on the creation of an indoor navigation graph, based on IndoorGML structure, in a fast and automated way, while retaining the type of walkable surface. In this paper the focus has been on door detection, because doors are essential elements in an indoor environment, seeing that they connect spaces and are a logical step in a route. This paper describes a way to detect doors using 3D Medial Axis Transform (MAT) combined with the intelligence stored in the path of a mobile laser scanner, showing good first results. Additionally different spaces (e.g. rooms and corridors) in the building are identified and slopes and stairs in walkable spaces are detected. This results in a navigation graph which can be stored in an IndoorGML structure.</p>

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An indoor navigation approach to aid the physically disabled people

Cited by 14 publications

References 7 publications

Mobile Augmented Reality enhances indoor navigation for wheelchair users

Mobile Augmented Reality enhances indoor navigation for wheelchair users

Assistive aids for the disabled: Past, present and future

Automatic Extraction of a Navigation Graph Intended for Indoorgml From an Indoor Point Cloud

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