Poster: A Robust Method for Heart Rate Estimation Using Wrist-type PPG Signals.

Heart rate is a critical index of well-being. However, estimating it accurately in a non-invasive way is a challenge. Photoplethysmography(PPG)-based estimation enables the non-invasive tracking of heart rate, but it is vulnerable to motion-induced noise, which consequently degrades the accuracy of heart rate estimation. In this poster, we present FitHR a robust method for accurate heart rate estimation on wrist-type wearables. Experimental results show that the average error of FitHR is around 1.65 beats per minute.