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Lightitude
- Source :
- Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 2:1-25
- Publication Year :
- 2018
- Publisher :
- Association for Computing Machinery (ACM), 2018.
-
Abstract
- In this paper, we propose an indoor positioning system, Lightitude, which utilizes the already existed, uneven indoor light intensity distribution established by densely deployed indoor lights as the medium. As common indoor lights cannot act as landmarks due to lack of unique features (e.g., unique intensity or flicker frequency), systems that exploiting the received light intensity (RLI) usually impose strong constraints on user's motion and make ideal assumptions about the indoor environment. Different from these approaches, we first propose a realistic light intensity model to reconstruct the RLI distribution given any motion (position, orientation) of the receiver, thus RLI collected with every motion of the receiver could be used for positioning. Then we design a particle-filter-based positioning module, which harnesses user's natural mobility to eliminate the ambiguity of a single RLI. Experiment results show that Lightitude achieves mean accuracy 1.93m and 1.98m in an office (720m2) and a library (960m2) respectively. Lightitude is still robust against interferences like sunlight, shading of human-body and several user behaviors.
- Subjects :
- Computer Networks and Communications
Orientation (computer vision)
Computer science
business.industry
media_common.quotation_subject
Flicker
020208 electrical & electronic engineering
Smart device
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
020206 networking & telecommunications
02 engineering and technology
Ambiguity
law.invention
Human-Computer Interaction
Light intensity
Indoor positioning system
Hardware and Architecture
law
Position (vector)
0202 electrical engineering, electronic engineering, information engineering
Computer vision
Artificial intelligence
business
Intensity (heat transfer)
media_common
Subjects
Details
- ISSN :
- 24749567
- Volume :
- 2
- Database :
- OpenAIRE
- Journal :
- Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
- Accession number :
- edsair.doi...........1dff2b927a5c5fef0892b2c8102d47d4