Contactless Physiological Data Analysis for User Quality of Life Improving by Using a Humanoid Social Robot

Roxana Agrigoroaie; Adriana Tapus

doi:10.1007/978-3-319-68548-9_63

Contactless Physiological Data Analysis for User Quality of Life Improving by Using a Humanoid Social Robot

Roxana Agrigoroaie, Adriana Tapus

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	Image Analysis and Processing - ICIAP 2017 - 19th International Conference, Proceedings
Editors	Sebastiano Battiato, Giovanni Gallo, Filippo Stanco, Raimondo Schettini
Publisher	Springer Verlag
Pages	696-706
Number of pages	11
ISBN (Print)	9783319685472
DOIs	https://doi.org/10.1007/978-3-319-68548-9_63
Publication status	Published - 1 Jan 2017
Event	19th International Conference on Image Analysis and Processing, ICIAP 2017 - Catania, Italy Duration: 11 Sept 2017 → 15 Sept 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10485 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	19th International Conference on Image Analysis and Processing, ICIAP 2017
Country/Territory	Italy
City	Catania
Period	11/09/17 → 15/09/17

Keywords

Human-robot interaction
Physiological data
Quality of life

Access to Document

10.1007/978-3-319-68548-9_63

Cite this

Agrigoroaie, R., & Tapus, A. (2017). Contactless Physiological Data Analysis for User Quality of Life Improving by Using a Humanoid Social Robot. In S. Battiato, G. Gallo, F. Stanco, & R. Schettini (Eds.), Image Analysis and Processing - ICIAP 2017 - 19th International Conference, Proceedings (pp. 696-706). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10485 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-68548-9_63

Agrigoroaie, Roxana ; Tapus, Adriana. / Contactless Physiological Data Analysis for User Quality of Life Improving by Using a Humanoid Social Robot. Image Analysis and Processing - ICIAP 2017 - 19th International Conference, Proceedings. editor / Sebastiano Battiato ; Giovanni Gallo ; Filippo Stanco ; Raimondo Schettini. Springer Verlag, 2017. pp. 696-706 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Contactless Physiological Data Analysis for User Quality of Life Improving by Using a Humanoid Social Robot",

abstract = "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.",

keywords = "Human-robot interaction, Physiological data, Quality of life",

author = "Roxana Agrigoroaie and Adriana Tapus",

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doi = "10.1007/978-3-319-68548-9\_63",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Agrigoroaie, R & Tapus, A 2017, Contactless Physiological Data Analysis for User Quality of Life Improving by Using a Humanoid Social Robot. in S Battiato, G Gallo, F Stanco & R Schettini (eds), Image Analysis and Processing - ICIAP 2017 - 19th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10485 LNCS, Springer Verlag, pp. 696-706, 19th International Conference on Image Analysis and Processing, ICIAP 2017, Catania, Italy, 11/09/17. https://doi.org/10.1007/978-3-319-68548-9_63

Contactless Physiological Data Analysis for User Quality of Life Improving by Using a Humanoid Social Robot. / Agrigoroaie, Roxana; Tapus, Adriana.
Image Analysis and Processing - ICIAP 2017 - 19th International Conference, Proceedings. ed. / Sebastiano Battiato; Giovanni Gallo; Filippo Stanco; Raimondo Schettini. Springer Verlag, 2017. p. 696-706 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10485 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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

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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 -

Agrigoroaie R, Tapus A. Contactless Physiological Data Analysis for User Quality of Life Improving by Using a Humanoid Social Robot. In Battiato S, Gallo G, Stanco F, Schettini R, editors, Image Analysis and Processing - ICIAP 2017 - 19th International Conference, Proceedings. Springer Verlag. 2017. p. 696-706. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-68548-9_63

Contactless Physiological Data Analysis for User Quality of Life Improving by Using a Humanoid Social Robot

Abstract

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Keywords

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