Mentor/s
Dr. Kristen Savell Dr. Justin Wager
Participation Type
Poster
Abstract
In this methodological study, we evaluate the accuracy and repeatability of the Theia markerless motion capture system for determining accurate anthropometric measurements. We will assess the correlation between linear measurements from a sample of human subjects (limb, torso, shoulder, limb segment lengths, bi-illiac breadth, body height, etc) as measured by the markerless system to those same measurements as assessed by hand. We will also calculate the intra-observer error of the markerless system’s measurements by repeating measurement sessions for each subject multiple times over several days.
We hypothesize that the markerless system will demonstrate low intra-observer error and a high correlation with hand-measured anthropometric measurements. If our results support this hypothesis, the markerless system will be used for our project investigating the relationship between anthropometry and the biomechanics of ascending steep inclines. Being able to use the markerless system in our slope-walking project would not only allow for more consistent data collection, it would remove the risk of introducing inter-observer by having multiple individuals collect anthropometric measurements by hand. In assessing the accuracy and repeatability of the Theia markerless system for anthropometric measurements, we can determine if it is a useful method of data collection for our lab’s larger biomechanics project.
College and Major available
Biology, College of Arts and Sciences
Location
Digital Commons & West Campus 2nd Floor University Commons
Start Day/Time
4-28-2023 12:00 PM
End Day/Time
4-28-2023 2:00 PM
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.
Assessment of Human Anthropometry With a Markerless Motion Capture System
Digital Commons & West Campus 2nd Floor University Commons
In this methodological study, we evaluate the accuracy and repeatability of the Theia markerless motion capture system for determining accurate anthropometric measurements. We will assess the correlation between linear measurements from a sample of human subjects (limb, torso, shoulder, limb segment lengths, bi-illiac breadth, body height, etc) as measured by the markerless system to those same measurements as assessed by hand. We will also calculate the intra-observer error of the markerless system’s measurements by repeating measurement sessions for each subject multiple times over several days.
We hypothesize that the markerless system will demonstrate low intra-observer error and a high correlation with hand-measured anthropometric measurements. If our results support this hypothesis, the markerless system will be used for our project investigating the relationship between anthropometry and the biomechanics of ascending steep inclines. Being able to use the markerless system in our slope-walking project would not only allow for more consistent data collection, it would remove the risk of introducing inter-observer by having multiple individuals collect anthropometric measurements by hand. In assessing the accuracy and repeatability of the Theia markerless system for anthropometric measurements, we can determine if it is a useful method of data collection for our lab’s larger biomechanics project.
Students' Information
Biology Major/ Chemisty Minor - Pre-Physicians Assistant Track, 2023