Assessment of Rifle Marksmanship Skill Using Sensor-Based Measures. CRESST Report 755

The goal of this report was to test the use of sensor-based skill measures in evaluating performance differences in rifle marksmanship. Ten shots were collected from 30 novices and 9 experts. Three measures for breath control and one for trigger control were used to predict skill classification. The data were fitted with a logistic regression model using holdout validation to assess the quality of model classifications. Individually, all four measures were significant; when considered together, only three measures were significant predictors for level of expertise (p less than 0.05). Overall percent correct in shot classification for the testing data was 90.0%, with a sensitivity of 67.5%, and 96.0% specificity. (Contains 9 tables and 1 footnote.) [This report was supported by a grant from the Advanced Brain Monitoring, Inc., PR/Award Number 20064169.]