Indoor localization system for assisting visually impaired people

bracu.type.groupResearch Publications
datacite.rightsMetadata Only
dc.contributor.authorAlam, Md. Mazidul
dc.contributor.authorArefin, Sayed Erfan
dc.contributor.authorAlim, Miraj Al
dc.contributor.authorAdib, Samiul Islam
dc.contributor.authorRahman, Md. Abdur
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2026-08-19T03:25:48Z
dc.date.available2026-08-19T03:25:48Z
dc.date.issued2017-04-26
dc.description.abstractIn this paper we developed an image processing based indoor localization system with color detection technique of connected objects. By using color detection technique our system can pinpoint a user's location with very high accuracy for real-Time applications. We used our system to filter out an image for a specific color and extracted pixel co-ordinates for that image. User's location is then determined by comparing the matrix for those values against a pre-created matrix of training images. We successfully conducted experiments in indoor environments as well and they yielded very good results. After analyzing these results, we propose to integrate our localization system with indoor navigation systems which can be used for blind people where accuracy is the most important element. To further facilitate the navigation process we also developed an android based application.
dc.description.versionPublished
dc.format.extent333-338
dc.identifier.citationM. M. Alam, S. E. Arefin, M. A. Alim, S. I. Adib and M. A. Rahman, "Indoor localization system for assisting visually impaired people," 2017 International Conference on Electrical, Computer and Communication Engineering (ECCE), Cox's Bazar, Bangladesh, 2017, pp. 333-338, doi: 10.1109/ECACE.2017.7912927.
dc.identifier.doi10.1109/ECACE.2017.7912927
dc.identifier.issn9781509056262
dc.identifier.other2-s2.0-85019225753
dc.identifier.urihttps://hdl.handle.net/10361/29260
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.hasversion10.1109/ECACE.2017.7912927
dc.relation.ispartofEcce 2017 International Conference on Electrical Computer and Communication Engineering
dc.relation.ispartofseriesEcce 2017 International Conference on Electrical Computer and Communication Engineering
dc.relation.urihttps://ieeexplore.ieee.org/document/7912927
dc.subjectColor segmentation
dc.subjectConnected object detection
dc.subjectImage processing
dc.subjectIndoor localization
dc.subjectWireless communication
dc.subject.lcshIndoor positioning systems (Wireless localization).
dc.titleIndoor localization system for assisting visually impaired people
dc.typeConference Proceeding
person.affiliation.nameAmerican International University - Bangladesh
person.affiliation.nameBRAC University
person.affiliation.nameAmerican International University - Bangladesh
person.affiliation.nameAmerican International University - Bangladesh
person.affiliation.nameAmerican International University - Bangladesh
person.identifier.scopus-author-id57205486460
person.identifier.scopus-author-id56582127900
person.identifier.scopus-author-id57194214204
person.identifier.scopus-author-id57194205293
person.identifier.scopus-author-id57212184292

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