MIT develops a new system to judge human photographic cues
Human photographic cues are a great help to scientists. Many systems have tried to implement it to aid the study of human emotions. For example, Microsoft’s Emotion API can detect how individuals feel to a certain degree of accuracy. Taking this step further is MIT’s Computer Science and Accuracy Intelligence lab that has developed a system to take human photographic cues to a greatly accurate extent.
Human photographic cues are important in emotional intelligence
The machine can judge the emotions sing wireless radio technology with an accuracy rate of 87%. The team at CSAIL has made a device that can detect emotions including excitement, anger, sadness and happiness. The device is call EQ-radio. The device does not require any on-body sensors making it a significant step in the study. It can detect subtle cues from the individual by studying breathing patterns and heart rhythm. This will in turn help in accurately encrypting it in systems that use emotional intelligence sensors.
It avoids the camera recognition pitfall. The creators of this system believe that this can get incorporated into systems of emotional intelligence.
The system developed by CSAIL works itself on an individual before attempting to detect their emotions. The tests used a five session set where subjects had their emotions triggered via music and videos to set the recognition algorithms.
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The application of this device and mechanism is endless in human life. It can be used from entertainment industry to healthcare. The mechanism could come handy in smart TV’s to detect user response to ads. Radio- EQ can also be great at home to augment light system according to the mood. The application in the health industry is rather, boundless. It can help to treat patients of depression or anxiety. The emotion detected through this can help diagnose the causes of diseases better.
TechCrunch reports that CSAIL believes this machine would be a stepping stone in the technology of emotional intelligence.
Image via Engadget
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