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Evaluation of Stress Detection as Time Series Events -- A Novel Window-Based F1-Metric

Harald Vilhelm Skat-Rørdam · Sneha Das · Kathrine Sofie Rasmussen · Nicole Nadine Lønfeldt · Line Clemmensen首次提交 2025-09-03 · 修订 2025-09-03 · v1arXiv预印本

将压力检测视为时间序列事件：一种窗口式F1指标AI 解读

Accurate evaluation of event detection in time series is essential for applications such as stress monitoring with wearable devices, where ground truth is typically annotated as single-point events, even though the underlying phenomena are gradual and temporally diffused. Standard metrics like F1 and point-adjusted F1 (F1 $_{pa}$ ) often misrepresent model performance in such real-world, imbalanced datasets. We introduce a window-based F1 metric (F1 $_w$ ) that incorporates…Accurate evaluation of event detection in time series is essential for applications such as stress monitoring with wearable devices, where ground truth is typically annotated as single-point events, even though the underlying phenomena are gradual and temporally diffused. Standard metrics like F1 and point-adjusted F1 (F1$_{pa}$) often misrepresent model performance in such real-world, imbalanced datasets. We introduce a window-based F1 metric (F1$_w$) that incorporates…

宏观 · 时间序列

关联记录被引 0 次 ↗OpenAlex · 核验 2026-09-30

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