A facial expression database is a collection of images or video clips with facial expressions of a range of emotions. Well-annotated emotion -tagged media content of facial behavior is essential for training, testing, and validation of algorithms for the development of expression recognition systems. The emotion annotation can be done in discrete emotion labels or on a continuous scale. Most of the databases are usually based on the basic emotions theory by Paul Ekman which assumes the existence of six discrete basic emotions anger, fear, disgust, surprise, joy, sadness.
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Emotional Facial Pictures Database
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Emotional Facial Pictures Database | Laboratory of Peripheral Psychophysiology
If businesses could sense emotion using tech at all times, they could capitalize on it to sell to the consumer in the opportune moment. Sound like ? Machine emotional intelligence is a burgeoning frontier that could have huge consequences in not only advertising, but in new startups, healthcare, wearables, education, and more. These algorithm driven APIs use use facial detection and semantic analysis to interpret mood from photos, videos, text, and speech. Emotive analytics is an interesting blend of psychology and technology.
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Artificial intelligence AI systems are being developed nowadays to infer people's intentions and reactions by studying their facial expressions. But a new study says that such conjectures by AI cannot be very reliable. A recent study analysed photos of actors to examine the relation between facial expressions and human emotions. They found that people could use similar expressions to portray different emotions.
Are Emotions Universal? It all starts with Darwin. The questions asked whether they saw the same expressions of emotion in these foreign lands as they had known in England … and they said they did.
