Data Analysis – Pattern Recognition

Hi,

I have loads of data from a driving cycle of a car. (acceleration, speed, throttle position, break pedal position, steering wheel position, and much more for a long period of time)

My task is now to find some driving patterns in the data, like an acceleration from 0 to maximum speed without steering. The main task is to find the point in time when this special maneuver was started and finished.

Can I use machine learning tools to recognize or identify these maneuvers?

I am very glad for every hint you can give me.

Thanks

[Merida]

Yes. you could Machine learning. But I'd recommend starting with something simple like mentioned in the link below.

https://blogs.mathworks.com/loren/2008/09/08/finding-patterns-in-arrays/

From there on, you can build more complex systems.

Answer 1

[Priyank Sharma]

Your question is bit unclear to me whether your described use case needs signal processing or machine learning at the current stage.

Nevertheless, if you working with the labelled data, then definitely you can go ahead with the machine learning. That will help you find the patterns.

And as Merida suggested, the below link will help you start with a simple appraoches to find patterns:

https://blogs.mathworks.com/loren/2008/09/08/finding-patterns-in-arrays/

Hope this helps!