Gait Analysis
Gait is the study of a person's walking. We were first introduced to gait analysis by doing a parter activity. For this activity, our task was the use the accelerometer app on our phones to record data of our walk. In the experiment my partner and I measured out a 30 foot distance and attached my phone to the upper side of my leg. I then walked back and forth between the distance while letting the app record my steps. After doing this three times, we recorded my height, weight, stride distance, phone position, and leg height. We then transferred all of our raw gait data to a google spread sheet.
Measurements
Height: 5'7
Weight: 140 pounds
Stride distance: 2 feet
Phone position: 33 inches up my leg
Leg height/waist: 40 inches
Walking distance: 30 feet
Gait is the study of a person's walking. We were first introduced to gait analysis by doing a parter activity. For this activity, our task was the use the accelerometer app on our phones to record data of our walk. In the experiment my partner and I measured out a 30 foot distance and attached my phone to the upper side of my leg. I then walked back and forth between the distance while letting the app record my steps. After doing this three times, we recorded my height, weight, stride distance, phone position, and leg height. We then transferred all of our raw gait data to a google spread sheet.
Measurements
Height: 5'7
Weight: 140 pounds
Stride distance: 2 feet
Phone position: 33 inches up my leg
Leg height/waist: 40 inches
Walking distance: 30 feet
The other activity I did was an analysis of a gait data table. I was given know subjects, adults and children, and some of their gait measurements. On another tab, there were three unknown subjects and based of the given data, I had to predict whether they were a child or an adult. After studying the table for a while, I picked out three different categories that I saw as the most helpful. I chose SD-Step Time, SD-AP SD-V, and AVG-A Gap-V because I noticed that the child's values were all distinctly larger than the adult's. I also labeled the vertical axis (V) in blue, lateral axis (L) in pink, and the anterior axis (A) in yellow. I then organized the data columns so that all AVG and all SD sets were rearranged to be next to each other.
Here is the data table used for this part of the activity:
Here is the data table used for this part of the activity:
Content:
Engineering Analysis: The application of scientific and analytic principles to reveal the state and properties of a system.
accelerometer: A device that measures the physical acceleration experienced by an object.
dynamicity: In terms of gait analysis, the quantification of variations in kinematic or kinetic parameters within a step.
gait: The stride of a human as he/she moves his/her limbs.
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.
Engineering Analysis: The application of scientific and analytic principles to reveal the state and properties of a system.
accelerometer: A device that measures the physical acceleration experienced by an object.
dynamicity: In terms of gait analysis, the quantification of variations in kinematic or kinetic parameters within a step.
gait: The stride of a human as he/she moves his/her limbs.
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.
Reflection:
Over the course of this project I feel that I have gained a lot of new knowledge about gait and data analysis. Two skills/things that went well were my data predictions and my parter collaboration. After analyzing the table, I was able to correctly predict that unknown subject 1 was a child, unknown subject 2 an adult, and unknown subject 3 a child. When doing the partner activity, my partner and I were able to efficiently plan out the experiment and record everything we needed. We got along great which made the activity run smoother and faster. Two things I could do better next time are constructing a better model and time management. I need to make sure I complete my model on time and that I have all the necessary parts and details.