Title
Visual Interaction Including Biometrics Information For A Socially Assistive Robotic Platform
Abstract
This work introduces biometrics as a way to improve human-robot interaction. In particular, gender and age estimation algorithms are used to provide awareness of the user biometrics to a humanoid robot (Aldebaran NAO), in order to properly react with a specific gender/age behavior. The system can also manage multiple persons at the same time, recognizing the age and gender of each participant. All the estimation algorithms employed have been validated through a k-fold test and successively practically tested in a real human-robot interaction environment, allowing for a better natural interaction. Our system is able to work at a frame rate of 13 fps with 640x480 images taken from NAO's embedded camera. The proposed application is well-suited for all assisted environments that consider the presence of a socially assistive robot like therapy with disable people, dementia, post-stroke rehabilitation, Alzheimer disease or autism.
Year
DOI
Venue
2014
10.1007/978-3-319-16199-0_28
COMPUTER VISION - ECCV 2014 WORKSHOPS, PT III
Keywords
Field
DocType
Linear Discriminant Analysis,Local Binary Pattern,Humanoid Robot,Face Detection,Active Appearance Model
Autism,Computer vision,Computer science,Local binary patterns,Active appearance model,Artificial intelligence,Frame rate,Face detection,Biometrics,Robot,Humanoid robot
Conference
Volume
ISSN
Citations 
8927
0302-9743
4
PageRank 
References 
Authors
0.39
27
5
Name
Order
Citations
PageRank
Pierluigi Carcagnì1317.19
Dario Cazzato2306.67
Marco Del Coco3215.20
Cosimo Distante45315.36
Marco Leo56912.01