The Samples - No Room

Sample - There is no room My sister, Susan and I quickly cooled the city of New Haven, Connecticut with cold air. Our destination is a small club called Toads' Place. When we finally arrived at the club, I felt relieved and I felt that the internal warm air began to restore the numbness of my body. We found out that the club is almost empty. This is to be expected to think that the arrival arrived 45 minutes before the opening band plans to play.

For each room, I put the iPhone 7 Plus in front of me and walked slowly around the room. I will sample at a rate of 20 Hz and sample a total of 10,000 samples per space. This is equivalent to wandering each room for 3 minutes. We then created a unified data set by blocking sequential measurement cycles and tagging them in the original room. By cross validating the random forest classifier 5 times we were able to explore the predictable relevance between reading distribution and the room where reading is done.

We know that the room has its own magnetic size distribution so we can sample this distribution for each room in the building and predict the room where the phone is located from the new sample. To accomplish this, I measured seven rooms across the campus of Harvard University. For each room, I got the iPhone 7 Plus in front of me and slowly walked around the room. I will sample at a rate of 20 Hz and sample a total of 10,000 samples per space. This is equivalent to wandering each room for 3 minutes. We then created a unified data set by blocking sequential measurement cycles and tagging them in the original room. By cross validating the random forest classifier 5 times we were able to explore the predictable relevance between reading distribution and the room where reading is done.