I do not know how to define my problem in a short sentence so I can find information on the internet.

I have this sensor data:

RAW sensor data example

I have observed my experiment with a time lapse camera. So i know when the sensors where moving, and when the sensor was steady. And I want to be able to recognize and validate these two groups/classes/categories. So when I am able to do that with my observed experiment data I can apply it on the field data (which I can't observe).

I have searched the internet for : semi-supervised anomaly detection. But I think I am using the wrong terms and definitions. And also the most information I found do not have the advantage of a experiment that can do observed vs. measured.

I think in science this most be a common kind of data analysis but I do not have the right vocabulary to define my questions/problems.

I am using python to analyze my data.

Does anyone know a better definition or knows how to clearly and statistically separate this problem?



Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.