The location of individuals is a key element for commercial and assistive location-based applications. Since the Global Positioning System, the most eective technology for positioning a mobile object in the outdoors does not work in indoor environments. Several technological approaches have been proposed to tackle this problem. In this paper, we present an alternative approach based on the use of indoor lighting variations, feature extraction of the signal and a deterministic selection to get a model in order to estimate localization of an individual in indoor environments.
['Carlos Eric Galván-Tejada', 'Jorge I. Galván-Tejada', 'Selene Ramírez-Rosales', 'Francisco Martínez-Ruiz', 'S. Paulizeth Maldonado-Luján']
Towards an Indoor Location System using Indoor-light as Information Source