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
This week I finished up the graphs for Dr. Weeks and Dr. Skornyakov and got to work on my idea for sedentary-like activity analysis. I intended to discuss these further here, but I seem to be having an issue uploading pictures with Blogger. Once I have this resolved I will be able to explain them in further detail.
Moving on to sedentary-like activity: I want to recap that the idea to identify low-activity instead of high activity was one that stemmed from my reading of several articles on using activity trackers to measure activity levels, most of which relied on periods of textbook sedentary activity (a definition involving both body position and a percentage of metabolism rate). However, for the sake of clarity I am going to begin classifying "high activity" as the number of minutes during the day when the subject's activity level was higher than the median activity level over the first three days. I intend to come up with more concise wording for these definitions if they do turn into something that we'd like to keep looking at as the project winds down.
Moving on to sedentary-like activity: I want to recap that the idea to identify low-activity instead of high activity was one that stemmed from my reading of several articles on using activity trackers to measure activity levels, most of which relied on periods of textbook sedentary activity (a definition involving both body position and a percentage of metabolism rate). However, for the sake of clarity I am going to begin classifying "high activity" as the number of minutes during the day when the subject's activity level was higher than the median activity level over the first three days. I intend to come up with more concise wording for these definitions if they do turn into something that we'd like to keep looking at as the project winds down.
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