Data processing and analysis
After designing the experiment and selecting a suitable platform and sensor for the intended application, data needs to be collected, processed, and analyzed. Although there might be a slight difference in how datasets from different sensors are handled, the following steps present a broad pipeline that ensures the analysis's efficacy. This pipeline is divided into three main steps: preprocessing, processing, and analytics. As their name indicates, data must be prepared and attributed to physical phenomena and a specific location in the preprocessing stage. Data of interest will be segmented and extracted in the processing step, and in the analytics step, modeling and predictions will be covered.