Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/22325
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dc.contributor.authorMarques, Hugoen_US
dc.contributor.authorCarvalho, Hugoen_US
dc.contributor.authorMorgado, Joséen_US
dc.contributor.authorGarcia, Nuno Men_US
dc.contributor.authorPires, Ivan Miguelen_US
dc.contributor.authorZdravevski, Eftimen_US
dc.date.accessioned2022-08-16T09:33:43Z-
dc.date.available2022-08-16T09:33:43Z-
dc.date.issued2020-12-10-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/22325-
dc.description.abstractStress is or could be one of the most talked-about and recurring things in recent years, because of the world that we live. Stress is our body's response to a pressure thing or situation in our life. In this way, countless things have a stressful impact on our lives. On the other hand, stress is usually due to something new or unexpected, that somehow is beyond our control. The effects on our body are evident, inevitably having symptoms. When we are exposed to stress, certain hormones are released in our body, and the immune system is working on selfdefence. During this, breathing becomes faster, heart rate increases, muscles contract and blood pressure also increases. Thus, the organism is ready to act to protect itself. It is where our project comes in, because, with these symptoms of our body, they allow stress to be identified. This paper is focused on precisely that, because, by reading the person's vital data, we can establish standards of normality, which, when they suffer variation, may indicate to us in advance that the person is stressed and help him to control himself so that there is no more significant damage. With this, we hope to obtain positive results in people's lives and routine, causing the stress rate to drop worldwide.en_US
dc.publisherIEEEen_US
dc.subjectMuscles, Sensors, Mobile devices, Stress, Healthen_US
dc.titleControl and Prevention of Personal Stressen_US
dc.typeProceedingsen_US
dc.relation.conference2020 IEEE International Conference on Big Data (Big Data)en_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers
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