Researchers often need to explain complex behaviors tied to emotional response. Collecting good emotional data and translating that data into a conclusion is critical when understanding and explaining behavior.
One way to collect and interpret facial expressions data is through FaceReader Software. FaceReader is an emotion reading software that analyzes facial movements to classify subject response. Facial expressions can be classified as happy, sad, scared, disgusted, surprised, angry, contempt, and neutral.
Join Frazer Findlay, CEO of BIOPAC, to learn the differences between Facial Coding using FaceReader and Facial EMG. Frazer will explain the distinctions of facial coding and why you would use a software like FaceReader versus collecting fEMG data using the facial muscles.
What You Will Learn
Difference between Facial Coding and Facial EMG plus advantages and disadvantages of each
Methodology for collecting data
How to bring data into AcqKnowledge real-time and seamlessly
Plus, see a live demo of the software needed to collect facial expression data.
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. Frazer joined BIOPAC in 1996 when he moved from the UK to Santa Barbara as Domestic Sales Manager. He became CEO in 2008, and has continued to develop and grow the business while also working with physiology measurement and biometric companies to improve the physiology monitoring industry.
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