Evidence of Work

In this project, we examined our group's walking patterns to better understand how we move. To determine whether my gait will follow our formula, we created a predictive model using the X, Y, and Z accelerations of Skye, Hayden, and Daniel.

Context

Gait: A person's manner of walking.

Acceleration of X: The person's acceleration in the forward direction.

Acceleration of Y: The person's acceleration in the horizontal direction.

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.

Reflection

I thought I had made a significant contribution to our gait analysis study overall. My team management throughout the project was one of the primary things I handled really successfully. By overseeing the data collecting and directing my crew, I was able to keep us on track. I also maintained a strong work ethic throughout the assignment, compiling the bulk of the information and finishing the formatting of our Google presentations. My participation to the project, though, was not without its difficulties. The lack of data we gathered for the project was one of my key flaws. Although we found some significant associations, I wish we had more data from more people to improve our predictive model. Additionally, I believe I might have examined more gait-related parameters, such as leg length.