The roles of gender and the sexual motives of Love, Pleasure, Conformity, Recognition, Dominance, and Submission in numerous usual and unusual sexual behaviors were investigated. In a survey of 191 college undergraduates it was found that Love, Pleasure, Conformity, and Recognition motives, often in interaction with gender, were all important predictors of sexual behavior. Gender was the best p...

Biological motion is a fascinating phenomenon: Not only can we recognize walking with impoverished information, but also species identity, and in humans mood and sex. We here look at a developmental aspect, namely at which age gender recognition becomes successful. Based on a data set by Troje (2002, J Vision, doi:10.1167/2.5.2), we created three sex-neutral walkers for one task: front, left-wa...

Gender Recognition is important in different commercial and law enforcement applications. In this paper we have proposed a gender recognition system through facial images. We have used a different technique that involves Bandlet Transform instead of previously used Wavelet Transform, which is a multi-resolution technique and more efficiently provides the edges of images, and then mean is combin...

The face recognition system with large sets of training sets for personal identification normally attains good accuracy. In this paper, we proposed Feature Extraction based Face Recognition, Gender and Age Classification (FEBFRGAC) algorithm with only small training sets and it yields good results even with one image per person. This process involves three stages: Pre-processing, Feature Extrac...

Gender recognition from facial images plays an important role in biometric applications. Employing Dyadic wavelet Transform (DyWT) and Local Binary Pattern (LBP), we propose a new feature descriptor DyWT-LBP for gender recognition. DyWT is a multi-scale image transformation technique that decomposes an image into a number of sub-bands which separate the features at different scales. DyWT is a k...

The gender recognition system with large sets of training sets for personal identification normally attains good accuracy. The features set are applied to three different applications: Pre-processing, Feature Extraction and Classification. The gender are classified on the basis of distance between eyebrow to eye, eyebrow to nose top, nose top to mouth, eye to mouth, left eye to right eye, width...

This work presents an automatic human gender and age group recognition system based on human facial images. It makes an extensive experiment with row pixel intensity valued features and Discrete Cosine Transform (DCT) coefficient features with Principal Component Analysis and k-Nearest Neighbor classification to identify the best recognition approach. The final results show approaches using DCT...

The role of configural information in gender categorisation was studied by aligning the top half of one face with the bottom half of another. The two faces had the same or different genders. Experiment 1 shows that participants were slower and made more errors in categorising the gender in either half of these composite faces when the two faces had a different gender, relative to control condit...