Hi Everyone,
I am new two time series related problem.
I have some time series data from imu sensors.
The time is given in seconds. I dnt have the date month year information.
For each time there is a label of activity like what happened or not.
Let say we have some data from sensor X. It would look the following example.
time, sensor_id, field 1, field2, field3 , … , Event
3.009, uixcd994, 0, 10, 4.5, …, Exercisee
…
and after hundreds for rows
3000.845, uixcd994, 0, 10, 4.5, …, Training
and after thousands of more rows some other event.
Remember that, Order can be anything,
Training → Exercise → Training or
Exercise → Training → Something Else → No_acitivity → Training.
However, we have maximum four possibility. Training, Exercise, Warm_up or No activity.
I have similar data from dozens of sensors. What I want to do is: For a given test data , I want to identify which part of the sensor data is what e,g, training exercise, etc.
However, I could not find a good example how to start and how to process the data .Since the problem sounds like both classification and regression. Any ideas, example ( for classification, regression or for both) would be really appreciated.
Thanks