Human facial expressions are tied to human emotion. Feelings of fear, surprise, happiness, disgust, sadness, and anger can be understood by researchers recording Facial electromyography (fEMG) data. Activities in the zygomaticus major muscle tend to correspond with positive emotions (happiness, surprise), and the corrigator supercilii muscle tends to correspond with negative emotions (anger, fear, disgust). Researchers use this EMG data for a variety of studies involving visual, auditory and haptic stimuli, startle and response, unconscious learning, emotional response and more.
Join Frazer Findlay, CEO, BIOPAC for a webinar on recording great Facial EMG. Learn how to set up a Facial EMG study, where to place the electrodes and best practices for recording signals on the muscles tied to our emotions.
Frazer is CEO of BIOPAC and has more than 20 years’ experience in life science data acquisition and analysis. Frazer is a well-regarded expert in the physiology monitoring industry and has facilitated workshops in the U.S., Europe, and Asia. He is familiar with a variety of software, equipment, and laboratory protocols for a wide array of signals and measurements.
The fEMG Electromyography Smart Amplifier is designed specifically for recording facial EMG signals and electrical activity from other small muscle groups. Use with AcqKnowledge™ software to analyze facial expressions and startle paradigms. BIOPAC’s new Smart Amplifiers are designed for great data. Smart Amplifiers improve performance by amplifying the physiological signal close to the subject, which allows a high-level […]
A System to Measure Physiological Response During Social Interaction in VR Children with Autism Spectrum Disorder (ASD) have a difficult experience in responding to social cues and actions. This pilot study measured the effectiveness of Virtual Reality in creating a social environment for children, measured with a BIOPAC MP Series data acquisition system and Worldviz […]
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 […]