A Novel Method in Predicting Hypertension Using Facial Images

Hypertension has been a crucial public health challenge among adults. This study aimed to develop a novel method for non-contact prediction of hypertension using facial characteristics such as facial features and facial color. The data of 1099 subjects (376 men and 723 women) analyzed in this study were obtained from the Korean Constitutional Multicenter Study of Korean medicine Data Center (KDC) at the Korea Institute of Oriental Medicine (KIOM). Facial images were collected and facial variables were extracted using image processing techniques. Analysis of covariance (ANCOVA) and Least Absolute Shrinkage and Selection Operator (LASSO) were performed to compare and identify the facial characteristic variables between the hypertension group and normal group. We found that the most distinct facial feature differences between hypertension patients and normal individuals were facial shape and nose shape for men in addition to eye shape and nose shape for women. In terms of facial colors, cheek color in men, as well as forehead and nose color in women, were the most distinct facial colors between the hypertension groups and normal individuals. Looking at the AUC value, the prediction power for women is better than men. In conclusion, we managed to explore and identify the facial characteristics variables related to hypertension. This study may provide new evidence in the validity of predicting hypertension using facial characteristics.

Facial features and social attractiveness: preferences of Bosnian female students

This research aimed at testing multiple fitness hypothesis of attraction, investigating relationship between male facial characteristic and female students' reported readiness to engage in various social relations. A total of 27 male photos were evaluated on five dimensions on a seven-point Likert-type scale ranging from -3 to 3, by convenient sample of 90 female students of University of Sarajevo. The dimensions were: desirable to date – not desirable to date; desirable to marry – not desirable to marry; desirable to have sex with – not desirable to have sex with; desirable to be a friend – not desirable to be a friend; attractive - not attractive. Facial metric measurements of facial features such as distance between the eyes, smile width and height were performed using AutoCad. The results indicate that only smile width positively correlates with desirability of establishing friendship, whilst none of the other characteristics correlates with any of the other dimensions. This leads to the conclusion that motivation to establish various social relations cannot be reduced to mere physical appearance, mainly facial features, but many other variables yet to be investigated.

Facial Expression Recognition System Using Facial Characteristic Points And ID3

Facial expression is one of the most powerful, natural, and abrupt means for human beings which have the knack to communicate emotion and regulate inter-personal behaviour. In this paper we present a novel approach for facial expression detection using decision tree. Facial expression information is mostly concentrate on facial expression information regions, so the mouth, eye and eyebrow regions are segmented from the facial expression images firstly. Using these templates we calculate 30 facial characteristics points (FCP’s). These facial characteristic points describe the position and shape of the above three organs to find diverse parameters which are input to the decision tree for recognizing different facial expressions.

The Agorithm Based on the Discrete Fourier Transform of Eye Detecting and Locating

Fatigue has a serious influence on people’s production and life. In this paper, which using the discrete Fourier transform algorithm to segment and extract person's facial image, so we can have a effective monitoring of people’s fatigue state base on the facial characteristic. With the help of the parameters characteristic of the Fourier transform, we can extract the key facial information from the image and achieve accurate position of the eyes. Simulation results show that the use of discrete Fourier transform to the exact position of the human eye, having a greatly improve on the operation speed of the eyes position system, and improving its accuracy and robustness.

Effects of Pupil Size and Facial Angle on Preference for Photographs of a Young Woman

This study attempted to determine the effects of pupil size and an additional facial characteristic, i.e., facial angle, on preference for selected photographs of an attractive young woman. Preference was measured using a rating scale. The results showed a significant effect for facial angle but not for pupil size.