276 – Emotional State (Affect) Recognition via Physiological Measures & Processing
Home>Application Notes>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:
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.
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.
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.
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.
The activation axis, plotted vertically, ranges from deactivation (zero arousal) to activation (high arousal).
The valence axis, plotted horizontally, ranges from negative to positive.
Learn the Fundamentals of Electrical Stimulation with BIOPAC experts Tim Cook and David Pollack!
What You Will Learn: – The differences between types of electrical stimulation – Use cases for electrical stim – How to prep subjects and connect them to stimulator safely – Best practices for safe stimulation – Live demos of electrical and haptic stimulators
BIOPAC provides software and hardware that allows research teams to record and analyze numerous body signals for physiological experimentation. Here are a few notable studies using BIOPAC equipment for ECG, EDA, and Respiration data. What Keeps Students More Engaged? The question has been brought to the forefront during COVID, what variations of online learning keep students more engaged? […]
BIOPAC’s comprehensive 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 for extracting, […]