Heart rate variability measuring from facial videos to detect stress
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- dc.contributor.author Garcia Gómez, Guillem
- dc.date.accessioned 2020-05-26T08:28:52Z
- dc.date.available 2020-05-26T08:28:52Z
- dc.date.issued 2018
- dc.description Treball de fi de grau en Biomèdicaca
- dc.description Tutor: Federico Mateo Sukno, Alex Pereda
- dc.description.abstract The remote measurement of physiology is an interesting topic that has gained relevance in recent years as it can be a promising alternative to traditional methods to detect body signals. In particular, remote photoplethysmography, which consists in the distant measurement of the pulse from videos of subjects, has shown a lot of potential, successfully being used to measure the heart rate variability. Heart rate variability (HRV) is mostly regulated by the autonomic nervous system (ANS). The parasympathetic branch of the ANS, influences heart function when the subject is in a relaxed situation, increasing its variability and lowering the heart rate. On the other hand, the sympathetic branch is responsible for raising the heart rate and lowering the variability when facing a dangerous or stressful situation. In this project, we will explore the potential of remote photoplethysmography as a tool for non-contact measurement of stress. 20 subjects took part in an experiment designed to induce sates of relaxation and mental stress while their faces were being recorded with a camera. The pulse signals were extracted from the video and used to obtain a set of measures of HRV, then we compared the measures corresponding to rest and stress states. Our results indicate that the developed system could estimate the heart rate successfully, showing low error in comparison with the ground truth. We also found significant differences between some of the HRV measures for the relaxation and stress conditions. However, some of the measures obtained showed low correlation with the ground truth suggesting that the related HRV differences between rest and stress states may be originated by other factors. Nonetheless, this technique shows a lot of potential and could be used for real life applications.ca
- dc.format.mimetype application/pdf*
- dc.identifier.uri http://hdl.handle.net/10230/44811
- dc.language.iso engca
- dc.rights Atribución-NoComercial-SinDerivadas 3.0 España*
- dc.rights.accessRights info:eu-repo/semantics/openAccessca
- dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/*
- dc.subject.keyword Heart rate variability
- dc.subject.keyword Remote photoplethysmography
- dc.subject.keyword Stress assessment
- dc.subject.keyword Non-contact measurement
- dc.title Heart rate variability measuring from facial videos to detect stressca
- dc.type info:eu-repo/semantics/bachelorThesisca