LED-based indoor positioning system using novel optical pixelation technique

Olaoluwa R. Popoola, Sinan Sinanovic, Roberto Ramirez-Iniguez, Wasiu O. Popoola

Research output: Contribution to journalArticle

Abstract

At present, about 47 million people worldwide have Alzheimer's disease (AD), and because there is no treatment currently available to cure AD, people with AD (PWAD) are cared for. The estimated cost of care for PWAD in 2016 alone is about $236 billion, which puts a huge burden on relatives of PWAD. This work aims to reduce this burden by proposing an inexpensive indoor positioning system that can be used to monitor PWAD. For the positioning, freeform lenses are used to enable a novel optically pixeled LED luminaire (OPLL) that focuses beams from LEDs to various parts of a room, thereby creating uniquely identifiable regions which are used to improve positioning accuracy. Monte Carlo simulation with the designed OPLL in a room with dimensions 5m × 5m × 3m is used to compute the positioning error and theoretical analysis and experiments are used to validate the time for positioning. Results show that by appropriate LED beam design, OPLL has a positioning error and time for positioning of 0.735 m and 187 ms which is 55.1% lower and 1.2 times faster than existing multiple LED estimation model proximity systems.

LanguageEnglish
Pages76-81
Number of pages6
JournalIET Healthcare Technology Letters
Volume6
Issue number3
Early online date18 Apr 2019
DOIs
Publication statusPublished - 30 Jun 2019

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Light emitting diodes
Alzheimer Disease
Lenses
Costs and Cost Analysis
Indoor positioning systems
Costs
Experiments

Keywords

  • Alzheimer's disease
  • indoor positioning system
  • optically pixeled LED luminaire

Cite this

Popoola, Olaoluwa R. ; Sinanovic, Sinan ; Ramirez-Iniguez, Roberto ; Popoola, Wasiu O. / LED-based indoor positioning system using novel optical pixelation technique. In: IET Healthcare Technology Letters. 2019 ; Vol. 6, No. 3. pp. 76-81.
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LED-based indoor positioning system using novel optical pixelation technique. / Popoola, Olaoluwa R.; Sinanovic, Sinan; Ramirez-Iniguez, Roberto; Popoola, Wasiu O.

In: IET Healthcare Technology Letters, Vol. 6, No. 3, 30.06.2019, p. 76-81.

Research output: Contribution to journalArticle

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