Title :
A space identification system and its robot application using wearable devices
Author :
Sangseung Kang ; Daeha Lee ; Cheonshu Park ; Jaehong Kim
Author_Institution :
Robot/Cognitive Convergence Res. Dept., ETRI, Daejeon, South Korea
Abstract :
In this paper, we present a space identification system and its robot application using wearable devices. The system was developed to recognize the current space information of the user based on data fusion from signal strengths, infrared lights, and network topology information through a wireless sensor network environment. The system was also implemented to determine on reference to the result data of activity recognition. As a case of our robot application, we show a vision-based user approach. In near distance within less than five meters, the robot can find people using a vision-based algorithm. When the robot is called, the robot moves to the location using space identification, and gets people´s faces information in the space using face recognition algorithm, and calculates the average size of faces in each group, and estimates a distance apart, and then approaches the caller.
Keywords :
face recognition; geriatrics; handicapped aids; mobile robots; motion control; robot vision; sensor fusion; wireless sensor networks; activity recognition; current space information recognition; data fusion; distance estimation; face average size calculation; face recognition algorithm; infrared light; network topology information; people face information; people finding; robot application; robot movement; signal strength; space identification system; vision-based algorithm; vision-based user approach; wearable device; wireless sensor network environment; Network topology; Object recognition; Robot sensing systems; Senior citizens; Service robots; Wireless sensor networks; space identification; user approach; wearable device;
Conference_Titel :
Ubiquitous Robots and Ambient Intelligence (URAI), 2012 9th International Conference on
Conference_Location :
Daejeon
Print_ISBN :
978-1-4673-3111-1
Electronic_ISBN :
978-1-4673-3110-4
DOI :
10.1109/URAI.2012.6462970