We're happy to announce the release of FaceReader 8, providing you with many unique features and benefits for the recognition and analysis of facial expressions:
- Baby FaceReader
- Custom Expressions
- Audio recording and playback
- Analyzing left and right Action Units separately
- Infrared (IR) recordings
- Measuring consumption behavior
- Heart Rate Variability
Since young infants are unable to provide verbal feedback, their facial expressions can provide extra insights that help to understand their emotional reactions. Baby FaceReader automatically measures facial expressions in infants ranging in age from 6 to 24 months old and can help you:
- Analyze infant responses to taste, odor, and other sensory stimuli
- Detect the expressive behaviors that occur during parent-child interactions
- Examine how the cognitive information processing of infants works
- Address questions in developmental psychology related to affect and developmental disorders
Baby FaceReader is the first and only software tool that offers these possibilities! Baby FaceReader is available as stand-alone product or in combination with the standard FaceReader.
Design your own algorithms for analysis of workload, pain, embarrassment, and infinitely more by combining variables such as facial expressions, Action Units, and heart rate.
Remember the affective attitudes we added in FaceReader 7.1: interest, boredom, and confusion? In this latest release you can now define additional affective attitudes yourself and even share these with your fellow researchers. Find out if your test participants show fake or genuine smiles (Duchenne smiles) for example. This functionality is part of the Action Unit Module.
With the use of variables such as Action Units and mathematical operations you can design your own algorithms, for example for the 'Duchenne smile'.
The option to record audio as well as video makes it possible to hear what people have been saying – for example, during focus group discussions, human-computer interactions, or while watching stimuli.
This unique feature distinguishes the intensity of the active muscles at the left and the right side of the face separately. This is extremely interesting for research related to paralysis, muscular dystrophy, and more. This functionality is included in the Action Unit Module.
For use of FaceReader in areas with low light conditions, it is now possible to analyze infrared recordings.
This option will be available for free on an experimental basis and makes it possible to analyze behavior of the test participant that is related to eating and talking. You can analyze chewing behavior, taking a bite, and talking.
The Remote Photoplethysmography (RPPG) Module has been extended with the possibility to analyze the heart rate variability (HRV) as well as the heart rate itself. Heart rate variability indicates how much variation there is in someone's heartbeats within a specific timeframe. It's an indicator of how well the test participant is recovering from general stress, for instance.
The heart rate and HRV can be visualized as a line chart, and can be exported.
FaceReader methodology white paper
Request the FREE FaceReader methodology note to learn more about facial expression analysis theory.
- Learn what FaceReader is and how it works
- Learn how the calibration works
- Get insight in quality of analysis and output
FaceReader is used worldwide at more than 900 universities (including 6 out of 8 Ivy League universities), research institutes, and companies in many markets such as psychology, consumer research, user experience, human factors, and neuromarketing.