A multimodal face detection system for elderly companion robot

Author

Tao, Yong ; Wei, Hongxing ; Wang, Tianmiao ; Chen, Diansheng

Author_Institution

Robotic Inst. of Beijing, Univ. of Aero.& Astro, Beijing

fYear

2009

fDate

March 30 2009-April 2 2009

Firstpage

7

Lastpage

11

Abstract

Regarding to global problem of ageing, the need for robots to take care of elderly people at private homes is essential, requiring a very natural and human oriented way of interaction between the old people and robot. In this paper a multimodal face detection system is presented, which is composed of face detection based on AdaBoost learning algorithm and environmental perception method. In the experiments, the system has been successfully implemented and tested on a service robot for human face detection. It is useful for the application of human-robot interaction for elderly companion robot.

Keywords

face recognition; handicapped aids; human-robot interaction; learning (artificial intelligence); medical robotics; robot vision; AdaBoost learning algorithm; elderly companion robot; elderly people; environmental perception method; human-robot interaction; multimodal face detection system; service robot; Aging; Face detection; Human robot interaction; Image segmentation; Medical services; Neural networks; Robotics and automation; Robustness; Senior citizens; Service robots;

fLanguage

English

Publisher

ieee

Conference_Titel

Robotic Intelligence in Informationally Structured Space, 2009. RIISS '09. IEEE Workshop on

Conference_Location

Nashville, TN

Print_ISBN

978-1-4244-2753-6

Type

conf

DOI

10.1109/RIISS.2009.4937899

Filename

4937899