Introduction
We were tasked with learning about gait, which is the manner and speed in which a person walks or runs. We conducted tests on one of our group members, Aaron, in order to see how gait analysis works. After measuring a variety of features, we put the data into a spreadsheet, as well as made graphs in order to better understand the material we found,
Evidence of Work
A person’s average gait varies based on a multitude of factors, such as height, weight, age, etc. We examined the differences in gait caused by certain changes in a person’s stride. To do this, we attached a measuring device to a subject, then recorded the different levels of acceleration the device went through during multiple trials. Each trial had a different factor that we thought might alter our results.
Micro Presentation
Write Up
Concepts
accelerometer: In our case, an app that measures the acceleration of the subject while walking
dynamicity: the measurement of the amount of variation in a set of data
gait: The manner in which a person walks
metric: An indicator of a specific component of data
model: A representation of data, either visually or otherwise, that simplifies and observes the behavior of a system.
symmetry: The measurement of variation between right and left-footed steps in experimental data
variability: The variation between one step and the next
dynamicity: the measurement of the amount of variation in a set of data
gait: The manner in which a person walks
metric: An indicator of a specific component of data
model: A representation of data, either visually or otherwise, that simplifies and observes the behavior of a system.
symmetry: The measurement of variation between right and left-footed steps in experimental data
variability: The variation between one step and the next
Reflection
This project was one of the more challenging ones for me personally, because I had almost no prior knowledge to how gait analysis worked. Starting with a completely new subject can be both intriguing but also difficult, and I had a hard time grasping the concept for a while. However, in practice, gait analysis turned out to be much simpler than I had anticipated. Getting the data itself was very easy, but I did come across a little difficulty in turning the file into a csc file on my phone. However, I was able to get past this issue relatively quickly and my group continued with the project. I ran into another challenge with the lab write up, because I was having trouble fully understanding the subject, which obviously made it hard to write about. Overall, I definitely learned a lot from this project and also learned a lesson in juggling multiple tasks at once.