Emotion recognition software detects facial expressions from images or video and returns the probable distribution of each of the six universal emotions: happiness, sadness, anger, fear, surprise, and disgust, and neutral.
Basic emotions were researched by Paul Ekman who supported the view that these emotions are discrete, measurable, and physiologically distinct, which leads to their universal recognition, even in preliterate cultures who could not have learned these associations through modern media.
Basic emotions can be modified to form complex ones, which can arise from cultural conditioning or association. For example, the combination of anger and disgust could be interpreted as contempt. When we analyze the basic emotions such as happiness or sadness, we know that these come in many different degrees, intensities and qualities. Our FaceAnalysis package displays the probability of each emotion. Our experiences often consist of multiple emotions at once, so our emotion recognition software shows the probability distribution of all basic emotions: happiness, sadness, anger, fear, surprise, disgust and neutral.
Nowadays, facial emotion recognition has lots of uses in various industries and academic research. For example, businesses can use emotion estimation software to sell their products to consumers in opportune moments. Marketing researchers can use it to verify the emotional reactions of users to their products, shelf placement or ads, while webmasters can use them to see how the users react to their content.
FaceAnalysis comes with cutting-edge algorithms that estimate not only emotions, but age and gender as well. If you’d like to try it out yourself or discuss potential opportunities for your business, get in touch with our experts. We’d be happy to provide you with a free evaluation licence and valuable insights from our extensive experience.