Gait analysis project

The goal of this project was to learn about gait, or the form and patterns of a persons walking path. We then were to find ways to discover the gait of our team mates and even make a predictive model to test if our predictions could be used to predict a mystery persons height based on using our predictive model on the data gathered about the mystery person.

Gait Analysis Presentation
copy of Gait Report

Evidence of work :

To start we first brainstormed about the major details and concepts to keep in mind when a person is walking, we found that a person's heigh, weight and movement side to side or up and down are all going to be variable that might affect one's walking patterns.

So we got started right away and wrote down the heights weights and even leg lengths of our group mates in case this was necessary. Next we used an accelerometer app on our phone and taped it to the same position of each of our group mates then sent them to walking 10 steps in a forwards direction, we used the phone to record the acceleration of the change in the phone in the 3 axis; x, y, and z.

The data we gathered from such was put into line graphs so we could compare each of our group members acceleration with ease.

Next we had to sort through the data and find the period of time when we were moving and find an average value between this period of time. We did this by using an average deviation equation in google sheets to sort our data and give us a clear data value for each of our group members. Next we had to compare the accelerations in each axis to the acceleration of another individual in our group and start finding differences. The differences could be the acceleration in how much a person moves side to side while walking, how much they accelerate going up and down or even back and forth whilst walking. With these data values we graphed them and at last were able to see our predictive model.


group gait data

To the left is our main data table showing the accelerations we found useful for each person along side with their height that we found.

Using the data we collected we and our predictive models we were able to put our model and knowledge of gait analysis to the test and use the gait data of one of our classmates to find their height within some margin of error.

We calculated we had about a 92% margin of accuracy and when our calculations came back we got a height of 184 centimeters when our mystery person in reality turned out to be 178 centimeters tall. This was a margin of error of about 6 centimeters which was within our 7.8 centimeters room for margin of error so we can claim our predictive model was to a degree a great success.

We also created a predictive model of bobbing or acceleration up and down with correlation to one's height, this which we found to only be 87% accurate however so when estimating ones height we stuck to our predictive model based on the acceleration in the X direction.

Our concluding findings for this project was that with an increase in height of a person will cause a decrease in sway or acceleration in the x direction (side to side) while an increase in height will increase a persons bobbing, or acceleration in the Y direction ( up and down).

Conclusion:

Two things I did well at during this project was work as a Communicator and Collaborator, I worked well as a communicator due to our team needing some tight leadership often when group maters would get distracted, this is where I felt I excelled at bringing back the group and getting us to keep thinking about the project and remain focused. Secondly I did well as a collaborator as I knew we had a rather short period of time for this project and we would require all the team we could get, due to this I made sure to come to class everyday with the goal of achieving some task no matter how small to keep the project moving forward.

Two things I did not do well were work as a Critical thinker and Conscientious Learner, I didn't work well as a critical thinker during this project as I failed to be able to grasp all parts of this project and relied on team mates for understanding the more critical components and leading the project in innovating. Secondly I lacked in being a conscientious learner as while I did try to lead the project we ended up working right up to the deadline which shows a lacking in conscientious learning about how I should have used time management to prevent such from happening.