What is Emotion Recognition?
Emotion recognition is a method used in software that permits a program to “examine” the sentiments on a human face by utilizing sophisticated image dispensation. Firms have been testing with an amalgamation of advanced formulas with image processing practices that have materialized in the last decade to appreciate more regarding what a video or an image of an individual’s face tells us concerning how they are feeling. With current innovation, emotion identification software has developed very adeptly. Moreover, its aptitude to track first facial looks for emotions like happiness, sadness, surprise, anger, etc., emotion detection software can also capture what specialists describe as “micro-expressions” or restrained cues of body language, that might reveal a person’s feelings devoid of their knowledge.
Emotion recognition also concurs with other types of facial recognition technologies and bio-metric image identification. These two types of technologies can be applied in many kinds of security cases. For example, authorities can utilize emotion recognition software to further investigation efforts concerning someone at some point in an interview or interrogation. Emotion detection continues to go forward on par with other innovations such as natural language processing and these signs of progress are for the most part made probable by the blending of ever more dominant processors, the scientific growth of complex algorithms, and other associated technologies.
How can Emotion Recognition be employed?
Emotion recognition is already widely used by different companies to gauge consumer mood towards their product or brand. The opportunities brought by this technology goes further than market research and digital advertising.
Emotion recognition in Health Care:
An industry that’s taking advantage of this technology is Health Care, with AI-powered recognition software helping to decide when patients necessitate medicine or to help out physicians determine who to see first.
Automotive industry and emotion recognition:
The automotive industry is also applying emotion recognition technology, as car manufacturers around the world are increasingly focusing on making cars more personal and safe for people to drive. The latter is a chiefly attention-grabbing area and one that various companies have by now taken steps in testing and researching. In their pursuit to build more smart car features, it makes sense for car manufacturers to use AI to help them understand the human emotions. Using facial emotion detection smart cars can alert the driver when he is feeling drowsy.
Emotion recognition in video game testing:
Video games are designed with a specific target audience in mind and aim to evoke a particular behavior and set of emotions from the users. During the testing phase, users are asked to play the game for a given period and their feedback is incorporated to make the final product. Using facial emotion recognition can aid in understanding which emotions a user is experiencing in real-time as he or she is playing without analyzing the complete video manually.
What are the advantages of Emotion Recognition?
Detecting emotions with technology is quite a challenging task, yet one where machine learning algorithms have shown great promise. By using Facial Emotion Recognition, businesses can process images, and videos in real-time for monitoring video feeds or automating video analytics, thus saving costs and making life better for their users.
At Sightcorp, we have combined the science of psychology, human expressions and artificial intelligence to recognize different emotions on an individual’s face automatically. Our face analysis algorithm can identify seven different type of emotional states in real-time: happiness, sadness, disgust, surprise, anger, and fear.