PPGI Webcam Demo
On the Diffusion Process in Photoplethysmography Imaging
Install
install the vcredist_x64.exe start the application via RUN_PULSE.bat
the application is tested on a windows 7& 10 pc using a RGB logitech HD720 as well as on a macbook pro under a bootcamp based windows 10 using the internal RGB camera.
the frame rate of the application is fixed to 15 fps and expects a VGA (640x480) resolution.
Parameters
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Noise SD: estimate of measurement noise standard deviation in the IMM model.
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Drift Q: the process spectral density for the bias model represents the continuous time noise in the sensor signal.
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Resonator Q: the resonator process noise spectral density defines the continuous-time variation of the resonator signals. adjust primarily this parameter to control the behavior of the periodic signals.
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Transition probability: transition probability between consecutive steps of frequencies (i.e. the probability of a jump from e.g. 70 bpm to 71 bpm)
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Lowe/Upper BPM: the frequency search space
References
- Christian S. Pilz, Jarek Krajewski, Vladimir Blazek. On the Diffusion Process for Heart Rate Estimation from Face Videos under Realistic Conditions. Pattern Recognition: 39th German Conference, GCPR 2017, Basel, Switzerland. Proceedings (Lecture Notes in Computer Science), pp. 361-373, Springer, 2017
- Christian S. Pilz, Sebastian Zaunseder, Ulrich Canzler, Jarek Krajewski. Heart rate from face videos under realistic conditions for advanced driver monitoring. Current Directions in Biomedical Engineering, De Gruyter, Berlin, pp. 483–487, 2017.