AI accurate psychological emotion facial assessment system

Many people want to know how artificial intelligence in such a short period of time, through the HD camera to identify people's inner emotional activities and make the corresponding numerical judgment? Each of our different emotions will form different vibrating waveforms (frequency, amplitude, energy) in the rich muscle groups of the face, which will be captured by a special high-definition camera, converted into a large number of data, through the system's algorithm for individual psychological portraits, and then compared with the group big data norms, so as to form a personalized psychological and emotional state analysis report.

Single-mind AI psychological emotion evaluation system uses face-frame emotion recognition, builds emotional feature model according to emotion algorithm and modeling technology, simulates emotional changes, and realizes emotion measurement model. The coordinate vector of the monitored feature points is converted into the corresponding description of simulated emotional features, which is used as the input of emotion measurement system. After the data training test, the output is the emotional feature model, which realizes the evaluation of psychological emotion based on the metric method of the face-frame feature model. After the fuzzy rules of features are learned, the time to judge the unknown emotional states is 1/20S. At present, artificial intelligence technology is still in the initial stage in the mental health industry, and the single-minded mental psychological emotion monitoring is fast, easy to data management and analysis, and is an effective supplement and technological innovation of the existing psychological scale.

Psychological assessment can not only help users understand their mental health status, establish mental health awareness, timely adjustment of bad emotions, but also remind psychiatrists to pay attention to key personnel.

Solve the following problems through the single-minded mental psychological and emotional assessment system:

1. Users can be screened and monitored for mental health to improve their mental health awareness. The traditional scale evaluation method focuses on the diagnosis of mental diseases, the data is subjective, and the detection time is long, can not be tested frequently, and is not suitable for the mental health screening of large groups of people. The diagnosis of mental illness is a very complex and long-term process, through the AI psychological assessment can quickly screen out the need to focus on the object, improve the management of the user's own mental health attention, and help establish the firefighter's mental health file, understand the significance of personal psychological and emotional changes, which is far greater than the psychological detection or diagnosis itself.

2. This system integrates psychological screening, psychological early warning, psychological intervention and psychological file management, and comprehensively establishes a convenient and efficient information management psychological auxiliary screening tool for large groups of people. Based on big data technology and microservice architecture, the system processes and analyzes the data directly collected in the user's business system to form an intelligent visual big data analysis system.