Main Purpose: Extracting heart rate and heart rate variability(HRV) from imaging Photoplethysmography signals acquired using cameras has been an advancing area of research. Non-contact or remote measurement of HRV has many potential applications such as stress or fatigue monitoring at the workplace as well as early detection of autonomic cardiac neuropathy. As measuring HRV during different activities such as deep breathing and engagement is of interest, we collected a unique dataset that provides researchers the resources to investigate non-contact iPPG based
HRV and HR measurements. Since the dataset consists of activities with complex facial movement, researchers can use it to develop iPPG algorithms that are robust to such high facial
motion scenarios The dataset consists of facial video recordings of 12 subjects (8 male, six female) under different engagement activities such as reading a webpage, talking about their day, watching a movie trailer and deep breathing. It also contains videos when they were stationary to establish a baseline. The video for each activity is 2 minutes. Ground truth PPG data were collected simultaneously using an FDA approved pulse oximeter. The experiment setup details are the following:
Camera: Serial number-17473548
Camera model: Blackfly BFLY-U3-23S6C
Camera vendor: Point Grey Research
Sensor: Sony IMX249 (1/1.2″ Color CMOS)
Resolution: 1920×1200
Illumination: White LED flood lights, battery powered
Pulse Oximeter:CMS 50D+ pulse oximeter
Acquisition software: Custom software for synchronized collection of camera frames and pulse oximeter PPG waveform data
Data collection Protocol: IRB consent form signed
  • 2 min video recording stationary with normal breathing
  • 2 min video recording reading a webpage about funny facts
  • 2 min video recording watching an informative video
  • 2 min video recording of talking
  • 2 min video deep breathing exercise. (inhalation for 6 seconds and exhalation for 5 seconds)
Any use of the dataset needs to cite the following two publications:
1) Pai, Amruta. “HRVCam: Measuring Heart Rate Variability With A Camera.” (2018) Master’s Thesis, Rice University.

2) Amruta Pai, Ashok Veeraraghavan, and Ashutosh Sabharwal, CameraHRV: Robust measurement of heart rate variability using a camera. SPIE BIOS (2018)

Please download the dataset here.