TY - GEN
T1 - Contactless Physiological Data Analysis for User Quality of Life Improving by Using a Humanoid Social Robot
AU - Agrigoroaie, Roxana
AU - Tapus, Adriana
N1 - Publisher Copyright:
© 2017, Springer International Publishing AG.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - Robots have increasingly been used for improving the quality of life of people with special needs, such as elderly, people suffering from Mild Cognitive Impairment (MCI), and people with different physical and cognitive abilities. In this paper, we propose a method for extracting and analyzing physiological data by using contactless sensors (i.e., RGB and thermal cameras). The physiological parameters that can be analyzed are: the respiration rate, blinking rate, and the temperature variation across different regions on the face (i.e., the forehead, the nose, the perinasal region, the left and right periorbital regions, and the entire face). These parameters, together with the action units (AUs) can be indicators of the current internal state of an user. We analyze data from three different scenarios and report the results obtained.
AB - Robots have increasingly been used for improving the quality of life of people with special needs, such as elderly, people suffering from Mild Cognitive Impairment (MCI), and people with different physical and cognitive abilities. In this paper, we propose a method for extracting and analyzing physiological data by using contactless sensors (i.e., RGB and thermal cameras). The physiological parameters that can be analyzed are: the respiration rate, blinking rate, and the temperature variation across different regions on the face (i.e., the forehead, the nose, the perinasal region, the left and right periorbital regions, and the entire face). These parameters, together with the action units (AUs) can be indicators of the current internal state of an user. We analyze data from three different scenarios and report the results obtained.
KW - Human-robot interaction
KW - Physiological data
KW - Quality of life
U2 - 10.1007/978-3-319-68548-9_63
DO - 10.1007/978-3-319-68548-9_63
M3 - Conference contribution
AN - SCOPUS:85032507437
SN - 9783319685472
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 696
EP - 706
BT - Image Analysis and Processing - ICIAP 2017 - 19th International Conference, Proceedings
A2 - Battiato, Sebastiano
A2 - Gallo, Giovanni
A2 - Stanco, Filippo
A2 - Schettini, Raimondo
PB - Springer Verlag
T2 - 19th International Conference on Image Analysis and Processing, ICIAP 2017
Y2 - 11 September 2017 through 15 September 2017
ER -