Method and system for sensor data recognition using data enrichment for the learning process

Abstract

A method and system for the recognition of sensor data, like an accelerometer and a gyroscope. The method includes data/feature enrichment before a learning process. Thus, the learning process can benefit from better data, which includes both raw sensor data and enriched data/features. As a consequence, classification models may become less complex without harming accuracy and, therefore, can be more easily deployed to mobile devices, consuming less processing power and battery.

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