Description:
For this project, every student worked with a partner in order to collect data for their gait analysis. We then created a class Google Sheet and everyone contributed their data. The goal was to create a model to represent all of the class's data. We began this project by learning about accelerometers, and how they can be used to collect Gait Data. Gait analysis is the systematic study of human motion, using visual observations and movement measures.
We then got into pairs and used an accelerometer app that we downloaded onto our phones and recorded all of our data. Once we had all of our data organized, everyone in the class contributed their data to the class Google Sheet. Everyone had to go through the data and analyze it, and come to their own conclusions based on their analysis. We had to create a model to represent the whole class's data, which was very difficult to do with Google Sheets.
We then got into pairs and used an accelerometer app that we downloaded onto our phones and recorded all of our data. Once we had all of our data organized, everyone in the class contributed their data to the class Google Sheet. Everyone had to go through the data and analyze it, and come to their own conclusions based on their analysis. We had to create a model to represent the whole class's data, which was very difficult to do with Google Sheets.
Content:
Gait analysis: the systematic study of human motion, using visual observations and movement measures.
The data we collected from the acceleometer was acceleration.
acceleration: the rate of change of velocity per unit of time.
symmetry: the quality of being made up of exactly similar parts facing each other or around an axis.
variability: lack of consistency or fixed pattern; liability to vary or change.
dynamic: a force that stimulates change or progress within a system or process.
The "X", "Y", and "Z" axis are all forms of acceleration.
The data we collected from the acceleometer was acceleration.
acceleration: the rate of change of velocity per unit of time.
symmetry: the quality of being made up of exactly similar parts facing each other or around an axis.
variability: lack of consistency or fixed pattern; liability to vary or change.
dynamic: a force that stimulates change or progress within a system or process.
The "X", "Y", and "Z" axis are all forms of acceleration.
Data:
Model:
Google Sheets was very hard to work with. Above are my attempts on creating a gait-height model.
Reflection:
The over-arching challenge that I encountered while working on the Whole-Class Gait database was the amount of data that each student had. Most students had around 100 lines of data for each trial, and every student had to run at least 3 trials. I think that everyone within my team had an equal say during both; the experiment and the data analysis. My group asked other teams clarification questions to make sure that we were interpreting their data correctly, and to make sure that we weren't making any false assumptions. It's extremely important to have the correct data, and to make sure everything is labeled correctly. I needed to know the key pieces of data to make the best representation. I learned that the x-acceleration was most accurate, and therefore making it the most important piece of data for this individual experiment. I decided to only use the x data and compare it to the height of the student to make the data more clear. The lack of organization among that data was definitely a shortcoming that I had to work with. I didn't encounter many challenges while performing the gait experiment. My group filmed each other while performing the experiment, which allowed us to make sure that all of our data was accurate, and we were able to limit the amount of human error. If we were to do this experiment again I'd definitely film each person again because it enabled us to minimize human errors and maximize data consistency. I encountered huge software constraints while working with Google Sheets. It was very difficult to make a model of the whole class's data. The graphs it designed weren't organized and were extremely hard to read. I'm still in the process of bettering my gait-height model, and I'm trying to make it more legible.