BIOPAC® Systems, Inc. Logo

276 – Emotional State (Affect) Recognition via Physiological Measures & Processing

This application note is concerned with the implementation details of determining emotional state (“affect”) on the basis of three physiological measures—Electrodermal Activity (EDA, a.k.a GSR), Zygomaticus (EMG), and Corrugator (EMG)s—as suggested in prevailing theories of emotion:

  1. The James-Lange Theory of Emotion: Emotions occur as a result of physiological reactions to stimuli. Emotional state depends on how the subject interprets their own reaction to any specific event.
  2. The Cannon-Bard Theory of Emotion: Physiological reaction and emotional state occur simultaneously. Emotions occur when the thalamus activates the CNS in response to stimuli, which results in physiological reaction.
  3. Schachter-Singer Theory of Emotion: In response to stimuli, a physiological reaction occurs. To experience the reaction and categorize it as a specific emotion, the subject is required to identify the reason for their specific reaction.
physiological measures for emotional state

Affective states arise from the behavior of two independent neurophysiological systems, the activation (arousal) and valence systems. Affective states are a function of these two systems. The circumplex model is two dimensional, with activation and valence defined as orthogonal (perpendicular) axes.

Associated Applications

Spotlight On
free BIOPAC webinar

Optimize Event-Related EDA

Electrodermal Activity (EDA) is an objective index for understanding emotional states. Researchers measure EDA to gain insights on psychological or physiological response, leading them down the path of scientific discovery. Because EDA is so important to research, BIOPAC has created tools to optimize event-related EDA analysis. Topics include: how to identify skin conductance responses, convert stim events from E-Prime SuperLab, Presentation, Vizard, etc., into AcqKnowledge events that can used for analysis, and score skin conductance responses using the AcqKnowledge automated EDA analysis tool.

Register Now
Latest News

New Citations | BIOPAC in NIBP Studies

NIRS and CNAP—Pairing great tools for great data Cerebral hemoglobin concentration (blood mass in the brain) is frequently measured in the prefrontal cortex, and systemic arterial blood pressure is known to be a variable factor based on the hemoglobin concentration. A leg pressure cuff was used to constrict and release blood flow to create a […]

Electrocardiography Guide Now Available

BIOPAC’s just released Introductory ECG Guide addresses fundamental to advanced concerns to optimize electrocardiography data recording and analysis. Topics include: ECG Complex; Electrical and Mechanical Sequence of a Heartbeat; Systole and Diastole; Configurations for Lead I, Lead II, Lead III, 6-lead ECG, 12-lead ECG, precordial leads; Ventricular Late Potentials (VLPs); ECG Measurement Tools; Automated Analysis Routines […]

Read All
Request a Demonstration
Request a Demonstration