Quantitative team performance metrics for dismounted infantry battle drill analysis
研究利用可穿戴设备数据（如惯性测量单元、GPS、心率等）建立线性混合效应模型，预测步兵班在战斗演练中的通信、火力效能和行动强度三个关键绩效指标，解释51.5%–63.5%的绩效差异，为军事训练提供量化评估工具。
Performance optimization down to the small unit level in the military is critical to the success of the collective force during an operation. However, there remains a lack of objective, quantitative performance metrics to evaluate military-team performance during battle drill training. Our research identified multiple wearable-derived measures that could predict squad performance as aligned to specific battle drill performance constructs. We developed linear mixed-effects models for three critical performance constructs: 1) Communications, 2) Fire Effectiveness, and 3) Violence of Action. In these three models, measures based on inertial measurement unit (IMU), Global Positioning System (GPS), heart rate, and transcribed communication performance metrics significantly explained 51.5%–63.5% of the variance in squad performance. A future after-action review (AAR) system could integrate wearable-derived performance metrics to provide squads with quantitative assessments that supplement feedback communicated by observer-controllers and impart new, beneficial insights. • We discuss 24 metrics derived from wearables that help quantify squad performance. • We present linear mixed-effects models that predict observer-controller ratings. • Model factors include communication, firing activity, and maneuver-related metrics.