Body Scanner Study

This project will utilize machine learning to analyze 3D body scans of runners of different abilities from the Eugene area to understand and make predictions about sex-based performance geometries that are not possible with existing tools. The 3D scans will be combined with other data like demographics, product size preferences, experience/ ability, training, injury history, nutrition, recovery and sleep habits and analyzed to identify markers of high performance. By classifying patterns across body geometries and runners’ behaviors/experiences, this information (or these models) could eventually be used to provide person-specific interventions to improve running performance.

We are looking for people who run, of any skill level, age 18 or older, to participate in our research study. The study involves filling out a survey, taking some basic body measurements, and participating in a 3D body scan taken with infrared cameras.

This study requires one lab visit for approximately 45 minutes, where you will receive a $10 gift card at the end of the data collection.

Please contact Aida Chebbi, achebbi@uoregon.edu, for more information.