Which type of feature extractor do you suggest to classify sensor data? I have IMU (Inertial Measurment Unit- 6 axis) sensor data. The sensor attached on a car and 7 different drivers wipe on same path. I want to extract features and classify drivers. Which type of feature extractor do you guys suggest? I am planning to use PCA and Autoencoders but what do you think about classical signal properties to classify drivers?
There could be multiple possible ways to extract the features. One would be to use RNNs for a temporal relationship as the input data is time-series.