Description:
For this project, we were tasked with designing an conducting an experiment that would end up creating a predictive model about a person's gait. To do this, we used an accelerometer taped to the back of 7 different subjects and had them walk 3 meters. We also collected data about each person, such as height and leg length. Below are the graphs of the acceleration for all of the subjects.
For this project, we were tasked with designing an conducting an experiment that would end up creating a predictive model about a person's gait. To do this, we used an accelerometer taped to the back of 7 different subjects and had them walk 3 meters. We also collected data about each person, such as height and leg length. Below are the graphs of the acceleration for all of the subjects.
Eventually, we found 2 correlations between factors of the subjects and the accelerations in their walk. We also found an extraneous correlation that we included in our final presentation as a display of how data can be manipulated to show a wanted result. Below is a lab report and micro-presentation of our results.
Concepts:
This project focused primarily on gait and the specific aspects of gait.
Gait: The way a person moves and how they move their limbs while moving.
Dynamicity: The variations of accelerations and other measure of movement within a step.
Symmetry: The similar between individual steps and step cycles.
Variability: The difference between strides or steps.
Coefficient of determination: A measure of how accurate a model is.
Reflection:
This project did have points where it could have gone better. For one, our group was separated as one of our members was training on a different project in preparation for future projects. This led to the communication between group members being weaker than it would ideally be. Additionally, our procedure for conducting testing was inconsistent as we found ways to attach the accelerometer more securely. This may have led to different data points in later testing than what may have been if our testing was consistent.
There were several good points to this project as well. During this project, I was able to develop a greater understanding of how to work with calculations in spreadsheets especially with a larger number of data points. The teamwork between the members of this group was another upside as well. We all knew that any one member could get a task done, and this allowed us to divide and conquer throughout the creation and testing of the lab.
This project focused primarily on gait and the specific aspects of gait.
Gait: The way a person moves and how they move their limbs while moving.
Dynamicity: The variations of accelerations and other measure of movement within a step.
Symmetry: The similar between individual steps and step cycles.
Variability: The difference between strides or steps.
Coefficient of determination: A measure of how accurate a model is.
Reflection:
This project did have points where it could have gone better. For one, our group was separated as one of our members was training on a different project in preparation for future projects. This led to the communication between group members being weaker than it would ideally be. Additionally, our procedure for conducting testing was inconsistent as we found ways to attach the accelerometer more securely. This may have led to different data points in later testing than what may have been if our testing was consistent.
There were several good points to this project as well. During this project, I was able to develop a greater understanding of how to work with calculations in spreadsheets especially with a larger number of data points. The teamwork between the members of this group was another upside as well. We all knew that any one member could get a task done, and this allowed us to divide and conquer throughout the creation and testing of the lab.