屋内定位のための環境照明光の特徴分類手法CEPHEID

抄録

“Each lighting fixture has its own characteristic flickering pattern, which is distinguishable from others” — This is the fact the authors had revealed in their previous works. Then, there is a scheme of indoor self-localization by using it. The author call it “CEPHEID”, which is an acronym for “Ceiling Embedded PHoto Echo ID”. In this paper, the author introduces CEPHEID and describes its details. In the method, each lighting fixture is identified by its own characteristic vector, that is generated by its flickering pattern in range of acoustic frequency band. Then, the characteristic vectors are classified by 1D CNN (Convolutional Neural Network). The validity of the idea is shown by experiment results.