Skip to main content

Posts

Showing posts from August, 2019

Summer - Week 10

This week, I am working to get the dynamic time warping functionality into my program. The process of doing so includes re-processing the features to include the time series, putting each series back together when we construct sequences, and then performing the DTW to generate a number that will be used to compute the kNN of each sequence which can then be used for predictions with the models. The processing time of these activities has gone up significantly since we have been using five different metrics with each of the F phase datasets. I am returning to school next week, and once I've completed the DTW processing all that will remain before we put together our second paper (The date for the reach journal we would like to submit it to is October 1), I am hoping I will have time to look again into the Agglomerative Hierarchical Clustering concept, which I did not successfully complete when we explored it earlier in the summer and then changed focus to the paper. We heard back
Post a Comment
Read more

Summer - Week 10

This week, I am working to get the dynamic time warping functionality into my program. The process of doing so includes re-processing the features to include the time series, putting each series back together when we construct sequences, and then performing the DTW to generate a number that will be used to compute the kNN of each sequence which can then be used for predictions with the models. The processing time of these activities has gone up significantly since we have been using five different metrics with each of the F phase datasets. I am returning to school next week, and once I've completed the DTW processing all that will remain before we put together our second paper (The date for the reach journal we would like to submit it to is October 1), I am hoping I will have time to look again into the Agglomerative Hierarchical Clustering concept, which I did not successfully complete when we explored it earlier in the summer and then changed focus to the paper. We heard back
Post a Comment
Read more

Summer - Week 9

In addition to the Fitbit data, we've received 12 new subjects' data from the P Phase. I am going to spend this week cleaning the data and running it through our processing pipeline to get it up to speed. A challenge with introducing Fitbit data is going to be finding an appropriate measurement of activity since it's output does not provide a single summarizing "Activity" metric. Instead, it reports minute-by-minute steps, heart rate, calories burned, distance moved (vertically) and caloric mets. We want to use the Fitbit data with our other data, meaning we need to find out which of the measurements can be used for the "Active" and "Inactive" minute calculations - finding the median and classifying all of the minutes above/below as Active or Inactive for Day and Night, respectively. My plan with respect to this is to go forward with all of the measurements and see which performs best. We hope that we will be able to successfully integrate th
Post a Comment
Read more

Summer - Week 8

We've submitted the paper, and now we are looking to move forward into the second paper. There are a few experiments we'd like to run: 1. Using Dynamic Time Warping to find the nearest 0/1 sleep sequences and then use features from similar series in predictions 2. Using Agglomerative Hierarchical clustering with #1 3. Bringing a third "Phase" of Fitbit activity data to see if we can apply our inactive-minutes concept into 4. Experiment to see if we can find a single model that works well across all three phases. 5. As a stretch goal: introduce an ANN model and see if it can outperform our previous best models, which were random forest. Going forward, we are going to refer to the first "Phase" as "A", after the Actilogger devices used to collect them, "P" to refer to the second series, collected with Phillips devices, and "F" to refer to the new Fitbit data being incorporated.
Post a Comment
Read more