Sensor Selector

This application uses a Machine Learning technique, based on Genetic Algorithms, to find the best combination of the same type sensors from which data could be fused in order to ensure the certain data quality (DQ) level. In DQ calculation, it integrates conventional data quality metrics representing accuracy as well as the security aspects of the device. However, users are given an option to choose DQ metrics to be considered. Using Genetic Algorithms allows getting high Data Quality in real time. This application needs data representing various sensor quality and security characteristics. This data set could be provided by a user but the given version contains a sample dataset describing characteristics of various Android-based mobile devices and their built-in sensors copied from http://www.dataqualitylabs.com/dataView.

Authors: Ameya Deepak Nagnur, Igor Khokhlov and Leon Reznik