Gait Analysis
Some background:
- For the experiment we measured someone's gait and analyzed the data we received from using an accelerometer app. We then input the data into Google Sheets and made predictive models. We then recorded the data/what happened between the 0-10 steps that I took. In addition, we measured my height, leg length, and stride.
- We had a group gait analysis and a class gait analysis.
- After doing 2-3 different walking trials each between my partner and I, we found that the taller person is, the less amount of steps taken. The bumps on the graph represent the steps taken in the process. Since my partner is half a foot taller than me, we compared our data and he had the least amount of bumps in his graph compared to mine. You can graph someone's data and compare it to the known data and known height, which I was able to graph in the page attached to estimate their height.
Reflection:
For our first senior stem-marin project, it was pretty successful. My partner and I collaborated and communicated with other teams when we had a question and asked if they could help us with it. We didn't have any major problems with the data we recorded. We were able to make sufficient graphs and interpret the data. To design a better experiment, we could do further research into the subject beforehand to make sure we all thoroughly understand the subject matter. Challenges while performing the gait experiment include finding a way to attach the phone to the person walking. We also had trouble easily sorting the data into google sheets, but we were able to solve the problem by talking to peers. To minimize errors and maximize data consistency we could do what I said earlier and thoroughly study the subject matter. Also, as a class, we could all decide how far we would all walk so the amount of data we all had would be consistent.
How We Could Improve:
Challenges I encountered while working on the Whole-Class Database was what data to use and then how and what format to graph the data in. The "quality of teaming" was good and we both worked equally and solved problems together. Next time, my partner and I should find a better way to attach the phone to our belt and keep it stable, but I think it is always going to be difficult to make it so the data is super accurate. My group and I also did not read the instructions clearly so we were a bit confused on what to do.
Link to Data and Charts:
https://docs.google.com/spreadsheets/d/1_1cb1HOFx3CR8-12fzFhUlMh2bnr0M0l3nQs7CHB56Q/edit#gid=0