I got an assignment working on accelerometer data.
I’m collecting accelerometer values for 5 seconds on a 100ms interval into a CSV file.
Then I label the CSV name accordingly if the user holding the phone has fallen or not.
Here the user has fallen.
I’m looking for a way to process my dataset with FastAI without success so far. I think what i’m looking for is Tabular Learning but I’m clueless on where to start.
My dataset should be a list of CSV files containing my accelerometer data labelled by their file names. Then I would input the same CSV format to predict if a fall has occurred or not.
I looked a Time series in machine learning but since I’m a beginner I might have missed something.
What resources could I use to solve my issue?