Heart rate

  • It uses image processing technology to detect subtle changes in skin color according to blood flow with smartphone camera.
  • It extracts heart rate signals through biometric processing algorithms, using detected signals.
  • Blood pressure

  • It measures the movement of heart rhythm with inertial sensors, and extracts the heart rate.
  • It measures skin color changes according to blood flow with a camera and extracts photo-plethysmography signals.
  • Through two extracted signals, the blood flow rate is calculated.
  • It learns blood flow rate, photo-plethysmography characteristics and personal information (age, height, weight, gender, etc.) through deep learning, and estimates blood pressure.
  • Stress

  • It measures photo-plethysmography signal from the camera.
  • It estimates the heart rate variation of 1 to 3 minutes and calculates the autonomic nervous system activity index.
  • Breathing

  • It measures the signal within 10 to 20 seconds of the inertia sensor
  • It estimates the exact displacement angle using a Kalman filter.
  • It uses signal processing technology to estimate the breathing signal through noise rejection by non-breathing motion and frequency analysis.