Non-contact heart rate detection for evaluating mental stress and enhancing designer’s creativity

The recent research of producing heart rate signal from a webcam has opened the opportunity for numerous new applications. This technique uses video of the face and Independent Component Analysis (ICA) to detect core physiological signals such as heart rate and respiration. We improve the correlation algorithm to make the measurement algorithm has higher fault tolerance and the heart rate signal’s detection more accurate. In addition, we observe the time domain component and frequency domain component of the original heart rate signal with wavelet transform at the same time, and it is very effective to observe the trend of heart rate signal change over time. Concordia University have a valuable experience in the field of stress science and creative design. We hope to cooperate with Concordia University and apply this new technology to evaluate mental stress and enhance designer’s creativity.

Faculty Supervisor: Xiaoyuan Li
Student: Peng Wu
Discipline: Engineering
Sector: Control science and engineering
University: Zhengzhou University

Faculty Supervisor:

Yong Zeng

Student:

Partner:

Zhengzhou University

Discipline:

Engineering

Sector:

Education

University:

Concordia University