Using Facial Expressions to Understand Behavior

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, 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 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. He’ll present a live demo of the software needed to collect facial expression data.

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
• Video Synchronization

Related Webinars:

• Understand Human Emotions with Facial EMG