Emotion monitoring and identification system is really effective to avoid accidents [Full text]

Science & Technology Recently, the Peugeot Citroen Group and the EPFL (EPFL) Laboratory of Signal Processing fifth (LTS5, SignalProcessingLaboratory5) work together to develop a feeling monitoring, identification system that can accurately identify a variety of emotional characteristics of people Change, combined with the actual emotional state, to remind drivers, pay attention to traffic safety, to avoid the occurrence of car accidents.



Emotion monitoring and identification system is really effective to avoid car accidents

In general, anger is considered to be the most important factor that causes the driver to be emotionally agitated. The emotion monitoring system monitors the driver's facial expression through an infrared camera at the rear of the car's steering wheel. Through the calculation of visual software, it analyzes the movement characteristics of the driver's facial muscles, and can accurately distinguish the driver's fear, anger, joy, There are seven basic emotions: sadness, disgust, surprise and suspicion. Although each person's performance is different from that of anger, Huai and Anil Yüce, the main researchers of LTS5, think that the basic emotions of anger and disgust are similar to those of anger.

HuaGao said, “The difference in response to the driver’s response to two objects at different speeds depends on what kind of analysis method is used. Overall, the monitoring system works well and can be accurately monitored in most cases. Driver's anger."

The difficulty in recognizing anger is because people express their emotions in various ways. Everyone who expresses anger more or less will have some differences, either close his lips or frown, or open his eyes.

The team also judged fatigue or drowsiness by observing the degree of opening and closing of the driver's eyelids. In the future, LTS5 also hopes that the system will be able to monitor other facial features, such as the discrimination of attention. In addition, through the monitoring of the movement of the lips, more accurate vehicle voice recognition and other various functions are realized to help people to drive more conveniently and to be safer in driving.

In the next step, EPFL will use a more advanced facial monitoring algorithm to test the system in real time. However, the EPFL and PSA Peugeot Citroen have not revealed how this new technology will be applied.

When the technology matures, we can't imagine that the driver will hear such a sound coming from inside the car, "Dave, I'm not sure you should do this," or that the proximity sensor and speed limiter are very much in the driver's mind When starting the rear-end, start to stop the driver, or give a warm reminder when the driver is about to doze off.

 

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