In this paper we address the automatic identification of indoor locations using a combination of WLAN and image sensing. We demonstrate the effectiveness of combining the strengths of these two complementary modalities for very chal- lenging data. We describe a fusion approach that allows localising to a specific office within a building to a high degree of precision or to a location within that office with reasonable precision. As it can be orientated towards the needs and capabilities of a user based on context the method becomes useful for ambient assisted living applications.
Ireland ->
Dublin City University ->
Publication Type = Conference or Workshop Item
Ireland ->
Dublin City University ->
Subject = Computer Science
Ireland ->
Dublin City University ->
DCU Faculties and Centres = DCU Faculties and Schools
Ireland ->
Dublin City University ->
Status = Published
Ireland ->
Dublin City University ->
DCU Faculties and Centres = Research Initiatives and Centres: CLARITY: The Centre for Sensor Web Technologies
Ireland ->
Dublin City University ->
DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing: School of Electronic Engineering
Ireland ->
Dublin City University ->
Subject = Computer Science: Algorithms
Ireland ->
Dublin City University ->
DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing
Ireland ->
Dublin City University ->
Subject = Computer Science: Computer engineering
Ireland ->
Dublin City University ->
DCU Faculties and Centres = Research Initiatives and Centres
Noel E. O'Connor,
Conor Brennan,
Milan Redzic