Gait Analysis

Evidence of Work

Gait Predictive model Group micro-presentation.
Gait Analysis Report

For this project, as the name implies, we had to analyze gaits. We began by collecting data. We taped a phone to our chests, and recorded the accelerometer data. Also, we recorded each trial in slow-motion video for additional insight. Then, we imported our data into a Google Sheet, graphed it, and analyzed it. We were then able to create an equation using the average g force in the y direction to predict someone's height.

Content

  • G-force

    • Force of acceleration, compared to the force of gravity

      • Example: 4.9 m/s^2 = 0.5G (it is half the acceleration due to gravity)

  • Gait

    • How someone walks

  • Spreadsheet

    • A method of organizing and charting large amounts of data, useful for analysis

  • Accelerometer

    • A device that measures acceleration, combined with a known mass, can be used to find force.

Reflection

Our team seems promising for our capstone project. We worked well together, with Stephen taking on a leadership role. While finishing the project at the last possible time, we all demonstrated Collaboration skills, since we were all working on one Google Doc simultaneously. We collaborated effectively, and completed the report on time. Simultaneously, conversing non-verbally took good Communication skills. If it weren't for our team's effective communication in the report's comments section, we likely wouldn't have been able to meet the deadline.

However, as I alluded to earlier, we did procrastinate a certain amount. Our lapse in time management was a symptom of sub-par Conscientious Learner skills. However, we were able to adapt to a changing timetable, improvise strategies, and overcome our previous mistakes. Additionally, this was a purely scientific project, and therefore had little to no room to demonstrate Cultural Competence.