Closed-Loop Tracking and Regulation of Emotional Valence State From Facial Electromyogram Measurements.

ABSTRACT: Affective studies provide essential insights to address emotion recognition and tracking. In traditional open-loop structures, a lack of knowledge about the internal emotional state makes the system incapable of adjusting stimuli parameters and automatically responding to changes in the brain. To address this issue, we propose to use facial electromyogram measurements as biomarkers to infer the internal hidden brain state as feedback to close the loop. In this research, we develop a systematic way to track and control emotional valence, which codes emotions as being pleasant or obstructive. Hence, we conduct a simulation study by modeling and tracking the subject's emotional valence dynamics using state-space approaches. We employ Bayesian filtering to estimate the person-specific model pa

SUBMITTER: Branco LRF 

PROVIDER: S-EPMC8990324 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature