Publications
カンファレンス (国際) Towards Estimating UV Index with a Smartphone Utilizing GNSS Signals as a Point Cloud
Subaru Atsumi (The University of Tokyo), Riku Ishioka (The University of Tokyo), Kota Tsubouchi, Yuuki Nishiyama (The University of Tokyo), Kaoru Sezaki (The University of Tokyo)
The 22nd ACM International Conference on Mobile Systems, Applications, and Services (Mobisys 2024)
2024.6.19
Monitoring and controlling the individual exposure to ultraviolet radiation is crucial for personal health. As a novel estimation method, utilizing GNSS signals received with a personal off-the-shelf smartphone has been studied. In the existing method, satellites are grouped based on their positions and signal information is represented by group statistics, leading to a coarse estimation. In this study, we propose a new UV index estimation method that directly utilizes the satellite-wise information and their spatial relationships with a point cloud neural network, considering the similarity of GNSS signals and point clouds. We collected GNSS signals and UV index data at two locations within the same area and demonstrated that the proposed method enhances estimation accuracy and smoothness.
Paper :
Towards Estimating UV Index with a Smartphone Utilizing GNSS Signals as a Point Cloud
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