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Map data representation for indoor navigation by blind people

Map data representation for indoor navigation by blind people
Map data representation for indoor navigation by blind people
A map is a basic element that is used for indoor and outdoor navigation which helps people find information about locations, landmarks, and routes. By the use of GPS, outdoor travelling is easier with free maps e.g. Google Maps providing geographic information during navigation. For indoors, indoor spatial information is not much informed by Google Maps and neither do commercial products that are working on indoor navigation systems. Thus, the lack of information and detail of buildings may not cause so many problems if it is used by sighted people. For visually impaired people, it causes a lot of problems due to a lack of information and detail about interior of the buildings. This leads to the research question of finding an appropriate framework for map data representation for constructing indoor maps aimed to promote indoor navigation by visually impaired people, as well as by robots and autonomous systems. Prior to the design of the framework, we design the framework with eleven components, extending seven components of the previous study by a further four covering the parameters of disability. The framework has been designed with a reference model where each layer of which is responsible for a different function. Using this map data representation of indoor spaces, many applications can be extended to provide a range of indoor-based applications. For example: indoor navigation by people with disabilities, robots and autonomous systems, security and surveillance, and context and spatial awareness.
framework, map , indoor navigation, blind, visual impairment
2046-3359
70-78
Jeamwatthanachai, Watthanasak
08576ac1-124d-4bfa-8ca2-49e6663161c3
Wald, Michael
90577cfd-35ae-4e4a-9422-5acffecd89d5
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0
Jeamwatthanachai, Watthanasak
08576ac1-124d-4bfa-8ca2-49e6663161c3
Wald, Michael
90577cfd-35ae-4e4a-9422-5acffecd89d5
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0

Jeamwatthanachai, Watthanasak, Wald, Michael and Wills, Gary (2017) Map data representation for indoor navigation by blind people. International Journal of Chaotic Computing, 4 (1), 70-78. (doi:10.20533/ijcc.2046.3359.2016.0009).

Record type: Article

Abstract

A map is a basic element that is used for indoor and outdoor navigation which helps people find information about locations, landmarks, and routes. By the use of GPS, outdoor travelling is easier with free maps e.g. Google Maps providing geographic information during navigation. For indoors, indoor spatial information is not much informed by Google Maps and neither do commercial products that are working on indoor navigation systems. Thus, the lack of information and detail of buildings may not cause so many problems if it is used by sighted people. For visually impaired people, it causes a lot of problems due to a lack of information and detail about interior of the buildings. This leads to the research question of finding an appropriate framework for map data representation for constructing indoor maps aimed to promote indoor navigation by visually impaired people, as well as by robots and autonomous systems. Prior to the design of the framework, we design the framework with eleven components, extending seven components of the previous study by a further four covering the parameters of disability. The framework has been designed with a reference model where each layer of which is responsible for a different function. Using this map data representation of indoor spaces, many applications can be extended to provide a range of indoor-based applications. For example: indoor navigation by people with disabilities, robots and autonomous systems, security and surveillance, and context and spatial awareness.

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IJCC - Map Data Representation for Indoor Navigation by Blind People - Accepted Manuscript
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More information

Submitted date: 29 January 2017
Accepted/In Press date: 20 March 2017
Published date: 20 March 2017
Additional Information: Related to: Jeamwatthanachai, W., Wald, M., & Wills, G. (2017). Map data representation for indoor navigation. 1-6. Paper presented at International Conference on Information Society (i-Society-2016), Ireland.
Keywords: framework, map , indoor navigation, blind, visual impairment
Organisations: Web & Internet Science, Electronics & Computer Science, Electronic & Software Systems

Identifiers

Local EPrints ID: 411234
URI: http://eprints.soton.ac.uk/id/eprint/411234
ISSN: 2046-3359
PURE UUID: 6c39ba84-d168-44d0-9c1f-db4996db1700
ORCID for Gary Wills: ORCID iD orcid.org/0000-0001-5771-4088

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Date deposited: 15 Jun 2017 16:32
Last modified: 07 Oct 2020 05:36

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