Thermal imaging of stress: a review
Fragment książki (Rozdział w monografii)
MNiSW
20
Poziom I
| Status: | |
| Autorzy: | Baran Katarzyna |
| Dyscypliny: | |
| Aby zobaczyć szczegóły należy się zalogować. | |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Strony: | 95 - 113 |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | TAK |
| Licencja: | |
| Sposób udostępnienia: | Witryna wydawcy |
| Wersja tekstu: | Ostateczna wersja opublikowana |
| Czas opublikowania: | W momencie opublikowania |
| Data opublikowania w OA: | 15 grudnia 2021 |
| Abstrakty: | angielski |
| In recent years, the subject of stress has become a key research area due to the increase in stress in people as a result of changing lifestyles, work pressure or the Covid-19 pandemic. Therefore, the introduction of preventive strategies for health protection, based on the latest technologies, can play a preventive and control role. The stress detection solutions used so far were often based on expensive devices for laboratory use, such as: ECG, EMG, GSR. A less expensive alternative is thermal imaging, which ensures non-invasive, comfortable examination, the possibility of using it in laboratory and home conditions, and which can use low-cost cameras while maintaining data detail. Combined with machine learning techniques, stress detection becomes more accurate and more reliable. Thanks to its features, thermography is more often used in interdisciplinary research. Therefore, this article focuses on stress thermal imaging, describing and comparing the latest research approaches. The most popular methods of stress detection, which are an alternative to thermography, are also presented. The most common ones are indicated: the analyzed physiological signals correlating with stress, the popular research devices used, questionnaires and classification algorithms. The limitations of thermographic stress detection are discussed, while at the same time pointing to selected research gaps in the field of stress recognition and detection. |
