Emotient’s flagship products are the FACET™ SDK, a complete facial expression recognition and analysis development kit, and FACET™ Vision, a fully featured desktop application for automated facial expression analysis of video files.
A Complete Facial Expression Recognition and Analysis Development Kit
FACET SDK contains all the development tools to empower a broad array of companies and market research firms to create new levels of customer engagement, research, and analysis.
The FACET SDK is now generally available. FACET SDK is available for Windows, Mac, and Linux platforms.
"Measure the emotional responses of users in real-time, detecting and monitoring expressions of primary emotion; overall positive and negative emotions; and blended composites of two or more emotions (e.g., frustration and nostalgia)."
"Analyze the emotion measurements to deepen your understanding of individual behaviors and preferences. Combine them to reveal truths about market segments."
Adapt the system to meet changing market and customer needs. We constantly strive for new innovation with a framework that is flexible enough to pivot toward new opportunites as they emerge.
FACET uses advanced algorithms to recognize multiple faces in still images and video frames before processing. FACET is able to correct for less then optimal conditions in the source material.
Behavioral Experts Processing Large Datasets = Highest Quality Output
Automatic Processing Across All Available Platforms without Manual Intervention
Range of Facial Types, Ethnicities, Lighting Conditions, Occlusions, Backgrounds
Detects Natural, Low intensity Expressions
Frame-by-Frame Analysis to Detect Rapid, Subtle Emotions
Valuable for Group Applications, e.g., Digital Signage in Retail Environments
Cross Platform Support
Windows 7 32 and 64-bit, Mac OS X 10.7+, Linux 32 and 64-bit
FACET Vision is a fully featured desktop application for automated facial expression analysis and annotation of video files. The application was purpose-built for brands with large internal marketing teams, as well as market research businesses, to review and analyze videos.
FACET Vision estimates the intensity of basic expressions of emotion, including joy, sadness, anger, surprise, fear, disgust, and contempt, and also provides a high-level positive, negative, and neutral sentiment score. Automatic analysis of emotions can be performed on multiple videos in batch mode without additional user interaction. Individual videos may then be reviewed one at a time to inspect granular details; for example, the precise expression made when an individual was introduced to a product or service.
FACET Vision allows the operator to annotate video files at key frames. Annotations may be selected from a pre-specified list of tags or they can be typed into the application. The system can also auto tag specific moments in the video based on emotion features, such as the maximum response of each expression type in a video. The system is adept at identifying microexpressions – rapid flashes of emotion (controlled by involuntary brain systems) that are often very revealing about an individual’s beliefs and/or propensity to act.
Detect all manner of expressions, including rapid and low intensity expressions that occur in natural behavior
Detailed Report Development
Review expression results and add annotations alongside the video
Export reports to a CSV file and read them in your favorite application for statistical analysis