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In the previous post we gave you a brief introduction to anomaly detection. We reviewed there some potential real-life applications and outlined common Machine Learning techniques that are being used for this task. In this post we cover a specific type of data regarding anomaly detection, which is time series.
Large improvement in performance of recording robotic data
The article opens a series of posts about anomaly detection. This time we explain what anomaly detection is, give you some interesting examples, and describe how to choose machine learning techniques for detecting anomalies according to the case.
We would like to offer you a short series describing drowsiness and distraction measurements, which are most popular in research and DMS applications. Today we will dive into visual-based behavioral metrics.