| Title | CEPHEID: the infrastructure-less indoor localization using lighting fixtures' acoustic frequency fingerprints |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Kobayashi, Hiroyuki |
| Conference Name | IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society |
| Keywords | Acoustic Fingerprints, Cameras, ceiling lighting fixtures, CEPHEID scheme, characteristic flickering pattern, CHEPEID, composability, Computer peripherals, discrete electronic components, Discrete Fourier transforms, DNN, DNN classifier, environmental fingerprint, Estimation, Human Behavior, indoor localization scheme, Indoor Positioning, indoor positioning experiments, indoor radio, infrastructure-less indoor localization, light emitting diodes, lighting, Mathematical model, MLP, pubcrawl, Resiliency, self localization, Wireless sensor networks |
| Abstract | This paper deals with a new indoor localization scheme called "CEPHEID" by using ceiling lighting fixtures. It is based on the fact that each lighting fixture has its own characteristic flickering pattern. Then, the author proposes a technique to identify individual light by using simple instruments and DNN classifier. Thanks to the less requirements for hardware, CEPHEID can be implemented by a few simple discrete electronic components and an ordinary smartphone. A prototype "CEPHEID dongle" is also introduced in this paper. Finally, the validity of the author's method is examined by indoor positioning experiments. |
| DOI | 10.1109/IECON.2019.8927659 |
| Citation Key | kobayashi_cepheid_2019 |
CEPHEID: the infrastructure-less indoor localization using lighting fixtures' acoustic frequency fingerprints