Stress Detection and Management in Daily Life Using Wearable Sensors

Datum: 07.11.2023, 17:30 Uhr - 18:30 Uhr 
Ort: N2045, Universitätsstraße 2, 86159 Augsburg
Veranstalter: Lehrstuhl für Biomedizinische Informatik, Data Mining und Data Analytics
Themenbereiche: Informatik, Gesundheit und Medizin
Veranstaltungsreihe: Medical Information Sciences
Veranstaltungsart: Vortragsreihe
Vortragende: Dr. Yekta Said Can

In diesem Wintersemester wird die im letzten Jahr erfolgreich gestartete Vortragsreihe Medical Information Sciences fortgesetzt. Renommierte Wissenschaftlerinnen und Wissenschaftler unterschiedlicher Fachdisziplinen und Forschungsstandorte geben jeden Dienstag ab 17:30 Uhr Einblicke in aktuelle Fragestellungen und Anwendungsgebiete des breiten Forschungsfeldes Medical Information Sciences.

The detrimental effects of mental stress on human health have been known for decades, and it has now developed into a major concern in our modern society, where it is regarded as a rising problem and an inevitable part of our everyday life. Psychological stress was shown to be separated into two types: acute and chronic. If stress is not recognized early, it can lead to a variety of diseases and major health problems, including hypertension and coronary disease, irritable bowel syndrome, gastroesophageal reflux disease, generalized anxiety disorder, and depression. In this talk, we will mention some experiments for recognizing stress by using unobtrusive wearables in different environments such as laboratory, real-life events and in the wild. Privacy preserving stress recognition approaches will be also explained. We will also talk about methods for alleviating stress and their performances for decreasing stress levels.

Weitere Veranstaltungen der Veranstaltungsreihe "Medical Information Sciences"

Weitere Veranstaltungen: Lehrstuhl für Biomedizinische Informatik, Data Mining und Data Analytics