FaceReader helps to automate your research — quickly and easily. The user-friendly software allows you to use different input sources and system preferences, giving you the setup you need.
Discover options, practical tips, and how-to's that will help you get the most out of your research.
FaceReader can be used with different input sources. You can upload still images for analysis or analyze facial expressions from a pre-recorded video file. When analyzing from video, you can choose an accurate frame-by-frame mode or skip frames for high-speed analysis. FaceReader enables you to analyze live and to record video and audio simultaneously. If you plan to analyze multiple videos, you can analyze them all at the same time. The software can also quickly detect interesting episodes, even in long series of events. This way, FaceReader saves you a lot of valuable time. FaceReader will run on computers with the following minimum technical specifications: Prof. Dr. Christian Märtin Augsburg University of Applied Sciences, Germany Tailor your facial expression analysis to a specific person using automatic calibration. You can correct person-specific biases towards a certain emotional expression, for example, when someone shows a lot of anger in their neutral facial state. Custom expressions are facial expressions or mental states that you can define yourself, such as workload, pain, or embarrassment. Combine variables such as facial expressions, Action Units, heart rate, and heart rate variability. FaceReader is installed on-site and adheres to strict privacy-by-design protocols. The software is not capable of recognizing or identifying faces or people, and is therefore unsuitable for surveillance purposes. Use FaceReader with a hardware key or digital license. A fixed license is connected to a single computer. With a floating license, install the software on any computer and use it anywhere with an internet connection. Need to easily integrate facial expression analysis into other applications? Using the FaceReader Software Development Kit (SDK) is the perfect solution. The SDK is available on request, based on a separate agreement. It works for Windows and Android, and can run on your PC or server. You can also use the FaceReader API, which makes it easy to connect with the standard FaceReader for Windows software and gives you access to key FaceReader functions on your own PC. Connect to FaceReader Online and test participants anywhere around the globe. It is the ideal tool to get feedback from a large number of participants without inviting them to your facility. Perfect for when you want to study participants in their homes or on their mobile phones. Baby FaceReader is a tool for automated facial expression analysis for infants between 6 and 24 months old. It's based on the Baby Facial Action Coding System (Baby FACS) and includes 14 Action Units that are specific for infants. Use Baby FaceReader to study responses to sensory stimuli, parent-child interactions, cognitive information processing, expressive behaviors in different situations, and more. Its objective measurements help you capture early emotional patterns and link them to cognitive and social development. Interested in FaceReader? Want to learn more about setting up FaceReader for your research? Contact us for a free demo or pricing information.How do I use FaceReader?
What does FaceReader offer?
Save valuable time
What computer hardware do I need?
Download technical specifications
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"Since we started to use FaceReader in our work on situation-aware adaptive user interfaces, our research has taken a great leap forward."
How do I collect my data?
Accurate analysis for each participant
Create custom expressions
Privacy & ethics in FaceReader
Choose the license that works for you
Setup options: SDK integration or online use
Integrate FaceReader with external applications
FaceReader Online: wherever there's internet
Baby FaceReader
Study infant emotions
Purdue University
Harvard University
TNO
University of Washington
Danish Technological Institute
Universität Leipzig
B-com
WUR
LSE
Purdue University
Harvard University
TNO
University of Washington
Danish Technological Institute
Universität Leipzig
B-com
WUR
LSE
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