What is the best facial emotion recognition algorithm so far?
Answers
Answered by
0
〽〽〽〽〽〽〽〽〽〽〽〽〽〽Creating an algorithm means we need to understand our inputs and outputs – so what exactly are the human emotions?
〽〽〽〽〽〽〽〽〽〽〽
☞ There are two core approaches that inform how solutions can be designed.
✔✔Categorical – argues that emotions fall into set classes. The pioneer of this approach was a Swedish anatomist named Carl-Herman Hjortsjö, and the idea is simple: there are a finite set of human emotions. A group of scientists led by Paul Ekman later developed the system, called FACS (Facial Action Coding System), and have continually been updating it since then. The emotions are happiness, sadness, surprise, fear, anger, disgust, and contempt.
✔✔Dimensional – assumes that emotions exist on a spectrum, and can’t be defined concretely. The Circumplex model of affect defines two dimensions, pleasure and arousal, while the PAD emotional state model uses three.
✌There are only two large-scale sets that are useable for modeling:
⭐The Cohn-Kanade AU-Coded Expression Database – a lab prepared study or facial expressions and emotions
⭐The Affectiva-MIT Facial Expression Dataset (AM-FED) – “naturalistic and spontaneous facial responses to Super Bowl ads.” Taken in a natural, non-lab setting.
thank u ❤❤✌☺
〽〽〽〽〽〽〽〽〽〽〽
☞ There are two core approaches that inform how solutions can be designed.
✔✔Categorical – argues that emotions fall into set classes. The pioneer of this approach was a Swedish anatomist named Carl-Herman Hjortsjö, and the idea is simple: there are a finite set of human emotions. A group of scientists led by Paul Ekman later developed the system, called FACS (Facial Action Coding System), and have continually been updating it since then. The emotions are happiness, sadness, surprise, fear, anger, disgust, and contempt.
✔✔Dimensional – assumes that emotions exist on a spectrum, and can’t be defined concretely. The Circumplex model of affect defines two dimensions, pleasure and arousal, while the PAD emotional state model uses three.
✌There are only two large-scale sets that are useable for modeling:
⭐The Cohn-Kanade AU-Coded Expression Database – a lab prepared study or facial expressions and emotions
⭐The Affectiva-MIT Facial Expression Dataset (AM-FED) – “naturalistic and spontaneous facial responses to Super Bowl ads.” Taken in a natural, non-lab setting.
thank u ❤❤✌☺
Similar questions