Fear Detection in Multimodal Affective Computing: Physiological Signals versus Catecholamine Concentration.

ABSTRACT: Affective computing through physiological signals monitoring is currently a hot topic in the scientific literature, but also in the industry. Many wearable devices are being developed for health or wellness tracking during daily life or sports activity. Likewise, other applications are being proposed for the early detection of risk situations involving sexual or violent aggressions, with the identification of panic or fear emotions. The use of other sources of information, such as video or audio signals will make multimodal affective computing a more powerful tool for emotion classification, improving the detection capability. There are other biological elements that have not been explored yet and that could provide additional information to better disentangle negative emotions, such as fe

SUBMITTER: Gutierrez-Martin L 

PROVIDER: S-EPMC9183081 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature