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The accurate estimation of peripheral capillary oxygen saturation (SpO ₂ ) is vital for monitoring respiratory health, with applications spanning medical diagnostics and fitness tracking. Remote photoplethysmography (rPPG) offers a convenient and non-contact approach for SpO ₂ estimation. However, existing methods predominantly rely on data within the normal SpO ₂ range, hindering their effectiveness during hypoxemia. Moreover, cross-user variations poses significant challenges for practicality. To address these limitations, we propose a simple yet effective normalization-based SpO ₂ estimation algorithm. By aligning individual Ratio-of-Ratios (RoR) data with a standard model at the matching SpO ₂ level, we mitigate cross-user variation, accommodate different camera configurations, and account for lighting changes. Our experiments demonstrate that the proposed method achieves an rMSE of 2.8% with …