Remote Heart Rate Estimation Based on 3D Facial Landmarks.

In this paper, we propose a novel video-based remote heart rate (HR) estimation method based on 3D facial landmarks. The key contributions in our method are twofold: (i) We introduce 3D facial landmarks detection to the video-based HR estimation and (ii) we propose a novel face patch visibility check manner based on the face patch normal in the 3D space. We experimentally demonstrate that, compared with baseline methods using 2D facial landmarks, our proposed method using 3D facial landmarks improves the robustness of HR estimation to head rotations and partial face occlusion. We also demonstrate that our visibility check is effective for selecting sufficiently visible face patches, contributing to the improvement of HR estimation accuracy.

Inter-Beat Interval Estimation from Facial Video Based on Reliability of BVP Signals.

Inter-beat interval (IBI) and heart rate variability (HRV) are important cardiac parameters that provide physiological and emotional states of a person. In this paper, we present a framework for accurate IBI and HRV estimation from a facial video based on the reliability of extracted blood volume pulse (BVP) signals. Our framework first extracts candidate BVP signals from randomly sampled multiple face patches. The BVP signals are then assessed based on a reliability metric to select the most reliable BVP signal, from which IBI and HRV are calculated. In experiments, we evaluate three reliability metrics and demonstrate that our framework can estimate IBI and HRV more accurately than a conventional single face region-based framework.