Gait analysis
For this project, we had to answer the overarching question: what is the relationship between gait frequency and subject height? We did this in a series of steps. First we attached an accelerometer to the lower back of each walking subject. We had each subject walk for 15 seconds. We recorded the number steps taken and through this we were able to find the walking frequency in steps per second. We also took the data from the accelerometer and made graphs that represented the gFx movement, gFy movement, gFz movement, and the total movement. Through the analyzation of our data we were able to find a relationship: as walking frequency increases, the leg length decreases. More information about the explanation and reasoning for how the relationship was found can be read within the presentation and report below.
Gait Analysis Report:
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Gait Analysis Micro Presentation:
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CONTENT:
Gait: a person's manner of walking
Leg Length: a measurement from the bottom on heel to top of hip bone
Line of Best Fit: is a straight line that best represents the data on a scatter plot
Regressions: a measure of the relation between the mean value of one variable and corresponding values of other variables
Sinusoidal Curve: is a mathematical curve that describes a smooth periodic oscillation
Frequency: number of occurrences of a repeating event per unit of time
Wavelength: the distance between successive crests of a wave
Trough: the lowest point the medium rises
Crest: the highest point the medium rises
Linear Line: a line with a constant slope
Accelerometer: an instrument for measuring acceleration, typically that of an automobile, ship, aircraft, or spacecraft
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
Physical Characteristics: defining traits or features about your body
Google Sheets: free spreadsheet software
Functions: a relationship or expression involving one or more variables
Report: give a spoken or written account of something that one has observed
REFLECTION:
This project was extremely challenging. There were many complicated steps and hidden meanings hidden inside the data that was needed. Through the project I had two major peaks and two major pits.
The two major peaks were quality leadership skills and meeting all deadlines. Since this project was very complex and had a lot of moving parts it was important to make sure the group knew what it was doing and how to do it. This is where I came in. I assumed the leadership role in the group and made sure everything was done to a high standard. The leadership role I assumed also lead to the next peak: meeting deadlines. Within the project there were many things that needed to be done quickly and efficiently. I made sure all the deadlines were met and the work was done proficiently. This lead to a high grade and a quality report.
The two major pits I had were lack of skills in Google Sheets and as usual, being too social. This project requires a lot of data to be imputed into Google Sheets and trends that needed to be found. With my lack of Google Sheets knowledge I ran into a problem. I had to do a lot of research on how to make functions within cells and how to create macros to successfully finish the project. Another pit I had was being too social. This is a recurring theme that I have with most of my projects. There were many times where I had to tell myself to get back to work and focus. I was lucky enough to be able to finish all the work, but next time I could be less social to allow myself more time to edit and make sure the project is perfect.
This project was extremely challenging. There were many complicated steps and hidden meanings hidden inside the data that was needed. Through the project I had two major peaks and two major pits.
The two major peaks were quality leadership skills and meeting all deadlines. Since this project was very complex and had a lot of moving parts it was important to make sure the group knew what it was doing and how to do it. This is where I came in. I assumed the leadership role in the group and made sure everything was done to a high standard. The leadership role I assumed also lead to the next peak: meeting deadlines. Within the project there were many things that needed to be done quickly and efficiently. I made sure all the deadlines were met and the work was done proficiently. This lead to a high grade and a quality report.
The two major pits I had were lack of skills in Google Sheets and as usual, being too social. This project requires a lot of data to be imputed into Google Sheets and trends that needed to be found. With my lack of Google Sheets knowledge I ran into a problem. I had to do a lot of research on how to make functions within cells and how to create macros to successfully finish the project. Another pit I had was being too social. This is a recurring theme that I have with most of my projects. There were many times where I had to tell myself to get back to work and focus. I was lucky enough to be able to finish all the work, but next time I could be less social to allow myself more time to edit and make sure the project is perfect.