Since being applied to the Russian Winter Olympics in 2014, the emotion recognition technology has been highly valued by international organizations, and is even regarded as the ultimate form of AI technology in public safety applications after fingerprints, voiceprints and faces. The author recently read the article "Ideology of VI Emotion Recognition of the Potentially Hidden Messages" by Zeng Yongxiang, the general manager of Taiwan Elsisi Co., Ltd., and combined the information on the Internet to discuss the emotion recognition technology.
The current emotional technology is in the process of development. At present, there are three common types of emotional recognition:
First, the micro-expression recognition based on the facial features of the person is detected by inputting the face image or the video stream, and the inner activity of the portrait is mapped by the psychological facial behavior recognition symbol, which is different from the general surveillance video capture, and the recognition object of the micro-expression It is an instant tag that occurs within 0.2 seconds. At the same time, there are relatively many data points to be collected. For example, in addition to the facial muscle data points, fine data such as wrinkles and textures are collected. Currently, there are many mature ones in China. Enterprises, such as Xias, Ping An Technology, etc., are mainly used in the fields of education, finance, and community security;
The second is a speech emotion analysis system based on artificial intelligence speech emotion recognition technology. This technology has been tried and applied abroad, but due to the particularity of Chinese pronunciation, the accuracy of the relevant emotional algorithm for Chinese recognition is low, and at the same time The complexity of the scene in the business environment, signal noise and rapid response are all problems that need to be overcome. According to online reports, the Chinese speech emotion recognition algorithm has been developed in China and successfully applied in China, such as the Sunshine Insurance Customer Center Voice Emotion Analysis System, which allows the computer to fully automate the machine quality inspection of all calls every day, marking the seats and customers. Negative emotions, assisting quality inspectors to check the quality of service of agents;
The third is based on physiological psychology, through the subtle changes in human physiology, to observe patterns of specific fluctuations in a variety of emotions (such as electrocardiogram, electro-dermal activity, etc.), to identify changes in people's thoughts and emotions. For example, when people feel stress and are nervous or have bad intentions and emotional excitement, the body sympathetic nerves will initiate the necessary functions, such as rapid heartbeat, rising blood pressure, rapid breathing, increased body temperature, and even physiological changes such as muscle skin tremors. .
The following key analysis is the third way to identify emotions. According to "VI Emotion Recognition Technology for Missing Potentially Hidden Messages":
When people are nervous and anxious, the vestibular emotional reflex (VER), which cannot be controlled by consciousness, can achieve the balance of the thermodynamic energy conservation law of the human body through the slight vibration of the head and the body (physical work); the light spot generated by the skin's fine vibration Changes can be observed through a special camera. Therefore, the technique is called VibraImage (VI) by measuring and calculating the vibration of the image in the image and comparing the potential emotions. In the image of 30 frames per second, analyze the number of times of the face skin, eyeball, mouth corner, eyelid, and body vibration of each person in the image, and calculate the amplitude and vibration period. The calculation includes the three-dimensional vibration frequency and amplitude of the head and the body. The symmetry, as well as the vibration process, totals 45 parameters, and the pixel vibration rate is mapped to the hidden state of the relevant person to determine whether there is tension, aggression, anxiety and other mental states.
It is reported that through training and trial use, Russia has been successfully applied to the global summits such as the World Summit G7, G20, Winter Olympics, etc., as well as in public places such as airports, high-speed rail stations, large retail malls, and Texas. Streets are introduced into the technology to prevent crime.
Faced with endless public safety challenges, face recognition has become an effective means of response, but there are still many blind spots that cannot be dealt with relying solely on face recognition. At the same time, there are many false positive rates in this technology. Emotion recognition may become Effective aids. In the future, whether it is the combination of camera and emotion recognition software or the method of lie detection of emotion recognition, it can effectively reduce the work of city managers, improve efficiency, and bring new help to social security.
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