Gait Analysis

In this project, we were tasked with finding a correlation between one's gait. We were to create a predictive model to utilize for any tested subject. We first measured many different points of data: y-axis acceleration, x-axis acceleration, z-axis acceleration, leg length, time, distance traveled, and many more. Then, we inputted the data into google spreadsheets to analyze our data efficiently. We found a correlation between leg length and the range of z-axis acceleration.

This is a spreadsheet of over 20000 data points of gait data measuring: acceleration X, acceleration Y, acceleration Z, and time. We also graphed the data and on the second sheet, we included the data for our test subject.

Gait - The stride of a human as s/he moves his/her limbs.

Accelerometer - A device that measures the physical acceleration experienced by an object.

Dynamicity - In terms of gait analysis, the quantification of variations in kinematic or kinetic parameters within a step.

Metric - A quantitative indicator of a characteristic or attribute.

Model - In technology, a description of observed or predicted behavior of some system, simplified by ignoring certain details. Models allow complex systems to be understood and their behavior predicted.

Symmetry - In terms of gait analysis, the quantification of differences between left-foot and right-foot steps.

Variability - In terms of gait analysis, the quantification of fluctuations from one stride to the next.

During this project, which also seems to be a recurring theme, is that I struggle on my character as a group member. I like taking the lead in the project and can sometimes lead to teammates feeling not included. I am also very impatient with people that struggle with grasping the topic. I need to work on inclusion and assisting others in their work. Something else I struggled with was conscientious learning. We were collecting lots of data but we didn't really know what we would be using it for at first. Next time we should figure out what data we need to collect first, and then conduct our experiments. This way we could be more time effective and help us keep away from wasting time.

During this project, I felt our group was very good at communication. Our group decided to split up some tasks by communicating what each person was doing and then come back together and discuss what we each did. This worked very well for our group because it gave everyone more perceived time and helped everyone conclude their tasks to better understand the project. Something else we did well with was time management. When we were given this project we got straight to work collecting data, and this was beneficial to our group because we got ahead of the work, and then we were able to split up the rest of the assignments and complete them all on time. Overall this was a very successful project and I learned a lot of new things about how different people walk.