I want to build a model that can detect which driver is driving now the car based on a dataset that contains 20 driver records for 3600s each driver ( the dataset contains all the car sensors values every second ) .
So , now i have that dataset that contain the drivers records . How can i train a model that can identify the driver based on 60 seconds ( or more for example).
Means , i want to make predictions with a dataframe of rows and not a single row . because we can't identify a driver with a single row .