Sleep States detection with KNN Algorithm

[MChaptinel]

As a: Awake AI Solution

I want to: Be able to detect sleep states with KNN algorithm

Description:
The AI Science is filled with many algorithms, we could not handle all of them instantly. However, step by step we should be able to handle all of them. The goal of this Task will be to take the output of our R Solution on a selection of nights from one of our patients. Store this data and use a k-Nearest Neighbour algorithm to try if with another non treated dataset, our KNN comes to detecting asleep or sleep states. After that we will be able to compare which solutions are faster than the other, which solutions is more rigorous than the other and so on.

Definition of done:

• Analyse Patient Movement in order to extract relevant data for KNN.
• Create a KNN that detects the patient's sleep state.
• Make a solution to compare both output KNN and R Algorithm.
• Make detailed report on the results.

Estimated workload: 2 W/D