Application of facial expression analysis system in emotion research

Facial expression analysis system can be used to determine the performance of the World Cup football team


With the rapid development of neurobehavioral science, people began to experiment with neurobehavioral tools to test various business behaviors.

FaceReader is one of the main neurobehavioral testing tools, mainly focused on testing consumer preferences and satisfaction. For example, the relationship between the expression of the consumer watching the commercial film and the willingness to purchase; the expression of the expression of the perfume after the consumer smells the different smells and the preference for the perfume; the relationship between the expression of the listener and the musical preference, and many other research fields.

However, some people have applied the expression analysis system to the sports field , such as determining the relationship between the diver's expression and the diving performance.

Recently, researchers at the University of Toulouse in France used a facial expression analysis system to measure the emotions of different teams and the performance of team rankings and goals, and created a new method for evaluating team performance (click here to read the detailed study interpretation). I believe that in the near future, with the application of dynamic face tracking camera technology, people will use facial expressions to predict the performance of various football teams in the World Cup.

What needs to be emphasized here is that when we use facial expressions to analyze emotions, we must pay attention to the fact that emotions have two sides, which are dominated by scenarios (environmental changes cause the body's reaction) and functions (biological instincts) dominated by different factors. The mood is also different. Therefore, when we analyze the expression, we must consider both the content situation and the coping function, so that we can correctly analyze the relationship between emotion and different business performance.


At this point in the text, you must be curious as to what kind of software is the FaceReader System (FaceReader)?

Closer to home, let's take a brief look at Noldus' Facial Expression Analysis System (FaceReader): a professional tool that automatically analyzes facial expressions and facial expressions, as well as line of sight, head orientation, and personal characteristics. (such as gender and age, etc.), but also measure "emotional", "confused" and "boring" three emotional attitudes.


System Features

● Visual data output, optional Chinese operation interface

● Automatic analysis of 20 micro-expressions

● Automatically analyze 7 basic expressions and 3 emotional attitudes

● Stimulus presentation module can analyze the impact of different stimuli on expressions

● Heart rate module can measure heart rate

● Deep learning model, still able to analyze in complex state

● Provide API software interface to facilitate data integration

● OEM inline allows you to customize the system

● Online version meets the needs of collecting data in different places


Application field

● Psychology applications (such as fear research)

● Application of education (improvement of educational tools)

● Usability test

● Consumer behavior research

● Market survey (commercial advertising evaluation, packaging design evaluation, etc.)

● Entertainment (emotional changes when playing games)

● Medical research (pain detection)

● Sports research (the impact of athletes' emotions on sports performance)

● Other fields of research, etc.

For more information about facial expression analysis systems, please feel free to contact us. You can also obtain relevant electronic information through the WeChat public account menu bar "Download". Wonderful meeting again in the next issue!

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