Whole Class Database: https://docs.google.com/a/students.nusd.org/spreadsheets/d/150b1-yV3A_sxjVM_x5nBJOxQmjUJ6iwnHH4JuQfsgto/edit?usp=sharing
Description: We collected data using an accelerometer app on our phones. It measures the different axes of how someone walks (forward/backward, left/right, and up/down). We then used our collected data to create a predictive model that would help us figure out an unknown subject's height based on how they walk.
Content/Terms to Know: Gait analysis- the systematic study of human motion using visual observations and movement measures Acceleration- the rate of change of velocity per unit of time Symmetry- the quality of being made up of exactly similar parts facing each other or about an axis Variability- the lack of consistency or fixed pattern; liability to vary or change Dynamic- a force that stimulates change or progress in a system or process
Reflection: This whole project was rather challenging for my group and I to figure out, but a major project that we faced was comparing the whole class's data. Most of the data recorded from other groups was not consistent, making it hard to compare the data. My group distributed the work evenly and worked together to complete the task at hand. We also compared our method of execution with another group's to have at least some sort of consistency with them. We should have done more trials to have more data to work with. In terms of making the actual model, it seemed difficult to me because some of the instructions given confused my group members and I, and we all had slightly different interpretations on what was being asked of us.