Indoor location perception model based on Resnet50 and Elman network.

ABSTRACT: The visible light indoor position perception method not only solves the limitations of traditional positioning technology indoors, but also promotes innovation in fields such as smart retail and healthcare with its advantages of high accuracy and low cost. At present, visible light indoor positioning methods based on received signal strength are restricted by issues such as environmental interference and poor signal stability. Additionally, traditional feature extraction methods result in insufficient diversity in feature databases, and the initial parameters of positioning models tend to fall into local optima, leading to significant fluctuations in positioning errors in complex indoor scenarios and making it difficult to consistently achieve high-precision positioning results. Therefore,

SUBMITTER: Zhang P 

PROVIDER: S-EPMC12721536 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature