FaceReader is an advanced software solution designed for the automatic analysis of facial expressions, providing researchers with accurate and reliable data on human emotions. Utilizing cutting-edge technology, FaceReader identifies and interprets facial expressions from live video, recorded footage, or still images, delivering immediate insights into emotional responses. Its user-friendly interface and swift processing capabilities make it an invaluable tool across various research domains, including psychology, consumer behavior, neuroscience, and user experience studies. Key Features and Functionality: - Emotion Classification: Accurately identifies six basic emotions—happy, sad, angry, surprised, scared, and disgusted—along with contempt and neutral states. - Action Unit Analysis: Measures 20 common facial muscle movements , allowing for detailed examination of subtle facial expressions. - Custom Expressions: Enables the creation of personalized algorithms to analyze specific mental states such as workload, pain, or embarrassment by combining various facial expression variables. - Physiological Measurements: Utilizes remote photoplethysmography to measure heart rate and heart rate variability without additional hardware. - Integration Capabilities: Seamlessly integrates with eye-tracking systems and physiological data collection tools, facilitating comprehensive behavioral analysis. - Unbiased Face Modeling: Ensures accurate modeling across diverse ethnicities, providing reliable data without bias. Primary Value and User Solutions: FaceReader addresses the need for objective, efficient, and precise emotion analysis in research settings. By automating the detection and interpretation of facial expressions, it eliminates the time-consuming and subjective nature of manual coding, thereby enhancing throughput and accuracy. Researchers benefit from immediate data analysis, allowing for real-time insights into participant responses. The software's versatility and integration capabilities make it suitable for a wide range of applications, from studying consumer reactions to evaluating psychological states, ultimately contributing to a deeper understanding of human behavior.