Knowledge Base

FaceReader 10 - Additional Modules

Multi-Subject Analysis

FaceReader can detect and analyze multiple faces within the same video. When adding a multi-subject video to your project, FaceReader will automatically find all the participants in the video and add them as participants to the Project Explorer. After analyzing your video, you can select up to 8 participants in total for data analysis.

Opening a single participant analysis added from a Multi-Subject Source will open the standard Analysis View, but only those parts where this participant was found show valid face results.

Eye Tracking

With web-based eye tracking, users of FaceReader can use a webcam to track where their participants are looking during a test. Eye tracking in FaceReader captures a person's gaze and their emotional reactions. A webcam streams the image and the software pinpoints key landmarks on the face. Then it measures head pose—the tilt and angle of the participant's head relative to the camera.

All this information goes into a pre-trained neural network. The network finds a 3D gaze vector, which is visualized as a line extending from the eyes in the direction the participant is looking. A calibration step helps line up someone's gaze with the display. This way, the software can track where their eyes are moving and calculate metrics like fixation points and saccades.

To include eye tracking data, you need to set up an experiment with the Stimuli Presentation Tool. After the test, you can view the fixations and saccades of someone's gaze, or visualize your results in a heatmap.

Consumption Behavior

Analyze behavior of the test participant that is related to eating and drinking. You can also view our online repository for custom expressions, which will be updated continually.

The following behaviors can be analyzed:

• Chewing and chewing motion
• Intake event (taking a bite or taking a sip)

Consumption behavior can be visualized in the Timeline, and exported for analysis in other packages. To enable a good measurement of intake behavior, the hands must be visible.

FaceReader Online Integration

FaceReader Online is based on FaceReader and runs online on a cloud server and does not need any on-site installation. It supports your online research and is flexible in where and when you can use it.

Combining FaceReader and FaceReader Online offers the possibility to quickly test a large group of participants. Perform your tests from whatever location, even at the participant's home. You can analyze the data you collect with FaceReader Online in more detail by importing it into FaceReader.

Want to test your experiment setup before inviting your participants to the lab? FaceReader Online allows you to quickly check your experiment with a pilot, including stimuli and data quality.

Baby FaceReader

The regular FaceReader enables expression analysis of participants starting from 3 years old. For analysis of younger test subjects you can use Baby FaceReader. This special version supports the analysis of infants between 6–24 months. It is possible to either only have Baby FaceReader or the regular FaceReader, or combine both versions in one installation. Baby FaceReader is based on Baby FACS as developed by Prof. Oster.

Analysis

Baby FaceReader works in a comparable way as the regular FaceReader, but there are a number of differences between the analyses of both versions. With Baby FaceReader, you can measure valence and arousal, as well as Action Units and custom expressions. The software also measures gaze direction, head orientation, and facial states. Eye tracking and vital signs measurement are possible as well.

Note: Baby FaceReader does not contain basic expression analysis as these were not validated by Baby FACS.

Source: FaceReader 10 Technical Specifications, Noldus Information Technology

Source: FaceReader 10 Technical Specifications, Noldus Information Technology