Smartphone-sensor-signal-based tool construction and data analysis

With the continuous improvement of smartphone configurations and performance, the accuracy of built-in sensors in smartphones has also been significantly enhanced. The collection, analysis, and application of smartphone sensor signals have become increasingly important. In this paper, we start with several common sensors in smartphones and design and develop a signal collection and storage tool based on the built-in sensors of smartphones. Using this tool, sensor signals are collected in different motion states and various scene positions, and then undergo data processing and analysis. Through the analysis of signal data, it can be observed that the signal characteristics of smartphone sensors exhibit significant correlations with different motion states and scenes. By perceiving the signals, it is possible to determine the pedestrian's motion state and scene location, which can be applied to various smartphone-based practical applications.