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 people suffering from Mild Cognitive Impairment, elderly, 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 peri-nasal 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.
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Communication dans un congrès
International Conference on Image Analysis and Processing, Sep 2017, Catania, Italy
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Contributeur : Roxana Agrigoroaie <>
Soumis le : jeudi 21 septembre 2017 - 19:52:08
Dernière modification le : jeudi 16 novembre 2017 - 17:12:03

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  • HAL Id : hal-01591717, version 1

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Roxana Agrigoroaie, Adriana Tapus. Contactless Physiological Data Analysis for User Quality of Life Improving by Using a Humanoid Social Robot. International Conference on Image Analysis and Processing, Sep 2017, Catania, Italy. 〈hal-01591717〉

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