  Event cameras, also known as neuromorphic cameras, are an emerging technology
that offer advantages over traditional shutter and frame-based cameras,
including high temporal resolution, low power consumption, and selective data
acquisition. In this study, we propose to harnesses the capabilities of
event-based cameras to capture subtle changes in the surface of the skin caused
by the pulsatile flow of blood in the wrist region. We investigate whether an
event camera could be used for continuous noninvasive monitoring of heart rate
(HR). Event camera video data from 25 participants, comprising varying age
groups and skin colours, was collected and analysed. Ground-truth HR
measurements obtained using conventional methods were used to evaluate of the
accuracy of automatic detection of HR from event camera data. Our experimental
results and comparison to the performance of other non-contact HR measurement
methods demonstrate the feasibility of using event cameras for pulse detection.
We also acknowledge the challenges and limitations of our method, such as
light-induced flickering and the sub-conscious but naturally-occurring tremors
of an individual during data capture.

Image and Video Processing;Computer Vision and Pattern Recognition