Bérubé Mathieu, Bouchard Kévin et Gaboury Sébastien. (2017). Scalable indoor navigation system based on proximity Bluetooth beacons using tools of AI. Dans 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI). (p. 1-5). Piscataway, New Jersey : IEEE Press.
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URL officielle: http://dx.doi.org/doi:10.1109/UIC-ATC.2017.8397547
Résumé
Ambient assisted living has thrived during the past decades due to the constant miniaturization of electronic and the declining price of the required technology. The researchers' motivation is two-folds: reduce cost of caregiving services while promoting autonomy of the targeted population. There are still several challenges and opportunity regarding the technological assistance of semi-autonomous persons. One of them is their inherent difficulty to travel in public space (airport, mall, government building, etc.). In this paper, we propose the first prototype of a navigation system adapted to address these challenges. The navigation system is scalable, cheap and will be completely open source upon release.
| Type de document: | Chapitre de livre |
|---|---|
| Date: | 2017 |
| Lieu de publication: | Piscataway, New Jersey |
| Identifiant unique: | 10.1109/UIC-ATC.2017.8397547 |
| Sujets: | Sciences naturelles et génie > Sciences mathématiques > Informatique Sciences de la santé |
| Département, module, service et unité de recherche: | Départements et modules > Département d'informatique et de mathématique |
| Liens connexes: | |
| Mots-clés: | sociology, statistics, Bluetooth beacons, floors, indoor navigation, tools, ambient intelligence, assisted living, beacons, smart environments |
| Déposé le: | 12 févr. 2021 15:20 |
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| Dernière modification: | 12 févr. 2021 15:20 |
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