Title | ||
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Visual Interaction Including Biometrics Information For A Socially Assistive Robotic Platform |
Abstract | ||
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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 |
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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 Carcagnì | 1 | 31 | 7.19 |
Dario Cazzato | 2 | 30 | 6.67 |
Marco Del Coco | 3 | 21 | 5.20 |
Cosimo Distante | 4 | 53 | 15.36 |
Marco Leo | 5 | 69 | 12.01 |