Determining artery location using camera-based sensing

Abstract

In one embodiment, a computer-readable non-transitory storage medium embodies software that is operable when executed to, in real time, capture a number of images of a user; identify one or more regions of interest corresponding to one or more superficial arteries of the user. The identification is based on a signal-to-noise ratio of photoplethysmogram (PPG) data obtained from the plurality of images. The software is further operable to measure, based on the PPG data, blood volume pulse (BVP) signals; and based on the measured BVP signals, compute one or more cardiological metrics for the user.

Description

technical field [0001] The present disclosure generally relates to the electronic detection and assessment of physiological characteristics of individuals. Background technique [0002] In the behavioral, biological and social sciences, a growing interest in assessing human emotional and / or physiological characteristics, such as cardiovascular health, can be seen. For example, many phenomena ranging from individual cognitive processing to social and collective behavior may not be well understood without considering human emotions. Recently, there has been interest in affective computing, which is the research and development of computing systems or devices that can recognize, interpret, process, and simulate human emotions. In particular, the user's emotions can be used as input for subsequent operations by the computing device or system. Additionally, determining physiological characteristics is useful for detecting or predicting a user's health. Contents of the inventi...

AI Technical Summary

Problems solved by technology

For example, many phenomena ranging from individual cognitive processing to social and collective behavior may not be well understood without considering human emotions

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