Real-Time Gender Based Behavior System for Human-Robot Interaction

被引：0

作者：

Carcagni, Pierluigi ^{[1
]}

Cazzato, Dario ^{[1
]}

Del Coco, Marco ^{[1
]}

Leo, Marco ^{[1
]}

Pioggia, Giovanni ^{[2
]}

Distante, Cosimo ^{[1
]}

机构：

[1] Natl Res Council Italy, Inst Opt, Arnesano, LE, Italy

[2] CNR, Pervas Healthcare Ctr, Inst Clin Physiol, Messina, Italy

来源：

SOCIAL ROBOTICS | 2014年 / 8755卷

关键词：

human-robot interaction; artificial intelligence; gender recognition;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This work introduces a real-time system able to lead humanoid robot behavior depending on the gender of the interacting person. It exploits Aldebaran NAO humanoid robot view capabilities by applying a gender prediction algorithm based on the face analysis. The system can also manage multiple persons at the same time, recognizing if the group is composed by men, women or is a mixed one and, in the latter case, to know the exact number of males and females, customizing its response in each case. The system can allow for applications of human-robot interaction requiring an high level of realism, like rehabilitation or artificial intelligence.

引用

页码：74 / 83

页数：10

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