Towards a new Infra-Red based approach for indoor localization - Archive ouverte HAL Access content directly
Conference Papers Year :

Towards a new Infra-Red based approach for indoor localization


The interest for ADL (Activity Daily Living) applications within smart homes, such as elderly monitoring, is increasing nowadays. Those applications are usually performed using machine learning algorithms that link actions with human activities which often depends on the human’s position. Human indoor localization is usually performed using Pyroelectric Infrared PIR sensors network, however, the latter presents several limitations, and to cope with these last, its results are sometimes combined with other sensing modalities to enhance location accuracy. In this paper, we present an idea to combine PIR network results with a non-intrusive Infra-red imaging sensor, relying on interval analysis IA techniques. We also show the advantages of using Ibex software to deal with IA calculations. Our future work is to characterize the error from the imaging sensor so that to encompass imaging result(s) within box(es) that could be combined, using Ibex, with PIR network box(es) so that to enhance the location accuracy.
Fichier principal
Vignette du fichier
JETSAN_2017_Modif.pdf (192.67 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01565005 , version 1 (15-11-2017)


  • HAL Id : hal-01565005 , version 1


Abderraouf Hadj Henni, Rym Ben Bachouch, Ouafae Bennis, Y. Parmantier, Nacim Ramdani. Towards a new Infra-Red based approach for indoor localization. Journées d'Etude sur la TéléSANté, 6ème edition, Pôle Capteurs, Université d'Orléans, May 2017, Bourges, France. ⟨hal-01565005⟩
224 View
133 Download


Gmail Facebook Twitter LinkedIn More