https://autoblow.com/bjpaper/
Analysis of Movement in Oral Sex Performed Upon Men
Abstract
In this work, we seek to quantify the “common” or “typical” movements involved in oral sex performed on males. To do so, we analyze a dataset containing over 108 hours of pornographic video, annotated at each frame with the position of the lips along the shaft of the penis. We use quantization techniques to discover sixteen distinct motions, and using these motions we design and evaluate a system that procedurally generates realistic movement sequences using deep learning. We quantitatively show that this system is superior to simple Markov Chain techniques.
To our knowledge, this kind of analysis of pornographic content has never been done before. Results from this analysis lay the ground for future research.
This study was commissioned by Very Intelligent Ecommerce Inc. as part of the design of the Autoblow AI. The authors of this paper have chosen to remain anonymous.
Contents
Introduction
Movement Analysis
Procedural Generation
Future Work