project 2

1. From Module Week 7, download,,

2. double click on file and instruct it to extract/install to C:\Documents\MATLAB folder

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3. For and WearableData zip, extract these files in the same folder.

something like this.Capture.JPG

4. Run Band_FD_Features_Cont.m file to create a feature matrix, it will create labels separately.

5. Once you run GaussMix_FSM_Cont_LOSO.m file to view the classifier outputs, by constructing a confusion matrix by counting the FSM output. You can determine or get a sense of how well the classifier is performing.

6. You should read the paper especially section 3.2 and 4. This will help you understand the project objectives.

7. Then, change the frequency mask to changes the frequency bands. Change the mask size from 4-4-8-16-32 to 4-4-8-24-24 and observe how it varies the classification results.

8. If you have time, you could implement time features such as mean, variance, and the number of zero crossings, run classification again, and observe that classifier performance improving.

9. Summarize what you have learned from the above experiment with some graphs in an MS word doc. and upload it to Canvas.

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