Morphological gender recognition by a social robot and privacy concerns

Abstract

An intuitive and robust user recognition system is at the key of a natural interaction between a social robot and its users. The gender of a new user can be guessed without explicitly asking it of her, which can then be used to personalize the interaction flow. In this LBR, a novel algorithm is used to estimate the gender of a person based on its morphological shape. More specifically, the vertical outline of the breast of the user is used to estimate his or her gender, based on similar shapes seen during training.