DocumentCode :
3419678
Title :
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
Link To Document :
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