Multimodal localization in the context of a medical telemonitoring system
| Autor: | Jerome Boudy, Hamid Medjahed, Dan Istrate, Imad Belfeki, Paulo Armando Cavalcante Aguilar, Matthias Maly-Persy, Jean-Louis Baldinger, Martin Opitz, Toufik Guettari |
|---|---|
| Přispěvatelé: | Département Electronique et Physique (EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Laboratoire Réseaux mobiles et systèmes embarqués (ESIGETEL) (RMSE), AKG Acoustics GmbH Wien (Groupe Harman) |
| Rok vydání: | 2010 |
| Předmět: |
Engineering
business.industry Remote patient monitoring Reproducibility of Results 020206 networking & telecommunications Context (language use) 02 engineering and technology Tracking (particle physics) Telemedicine Azimuth Intelligent sensor Software Home automation Embedded system 0202 electrical engineering electronic engineering information engineering Humans 020201 artificial intelligence & image processing Computer vision Artificial intelligence Adaptation (computer science) business [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing Algorithms Aged Monitoring Physiologic |
| Zdroj: | Proceedings EMBC 2010 : 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC 2010 : 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC 2010 : 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Aug 2010, Buenos Aires, Argentina. pp.3835-3838, ⟨10.1109/IEMBS.2010.5627688⟩ |
| DOI: | 10.1109/iembs.2010.5627688 |
| Popis: | International audience; This paper addresses a localization system which is based on a combination of information from two modalities: a Smart Home Person Tracking (SHPT) composed of infrared sensors and an Audio Person Tracking (APT) which uses microphones able to estimate azimuth of acoustic sources. This combination improves precision of localization compared to a standalone or separated module. The localization software facilitates the integration of both SHPT and APT systems, to display the position in real time, to record data and detect some distress situations (some kind of fall). Results on implementation show good adaptation for Smart Home environments and a robust detection |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|