An end-to-end IoT framework for reliable remote and contactless measurement of biometric data

Veyetals online smartphone-based application that can be downloaded through the Apple Store or the Google Play Store. It uses Remote Photoplethysmography (rPPG) technique to extract Blood Volume Pulse (BVP) signal from a face video captured using smart phone camera, and then applies multiple computational algorithms to measure heart rate, heart rate variability, oxygen saturation, and stress level from the BVP signal. In the proposed multidisciplinary research project, Queen’s researchers will collaborate with the industry partner to enhance the Veyetals platform to add new capabilities such as body temperature and blood pressure measurement and increase its overall performance and accuracy. New face video and signal processing techniques will be developed to improve signal extraction, remove noise, and apply advanced error handling routines to enhance the robustness and reliability of the Veyetals application. The improved Veyetals application can be used for public health monitoring, at care facilities, or for providing online medical advice through services such as YourDoctorsOnline where doctors can obtain patients’ vital signs to provide a diagnosis. The proposed work will greatly increase the performance and business value of the Veyetals application and leverage remote health care services in Ontario and around the globe through online health care platforms.

Faculty Supervisor:

Farhana Zulkernine

Student:

Amtul Haq Ayesha

Partner:

MarkiTech

Discipline:

Computer science

Sector:

Health care and social assistance

University:

Queen's University