As a branch of face recognition, facial emotion recognition aims to analyze the psychological emotion through the change of facial emotion.
Facial emotion recognition involves many fields, i.e. retail industry, automatic drive, online education and etc..
The point of facial emotion recognition technology is that once a person's facial features are slightly changed, his facial expressions and emotional expressions will be changed accordingly. Besides, facial expressions vary from race to race and from age to age. To help the recognition technology be more accurately, Speechocean collected more than 160,000 pictures of facial emotion from more than 4,000 people of different races, with a balanced sex ratio, ranging in age from 6 to 80.
Number of Pictures
Number of People
Facial Emotion - Kids
Facial Emotion - Adults
Facial Emotion - Blacks
Facial Emotion - Whites
Facial Emotion - Asians
White background / blue background
Shooting angles (depression):
0-7 degrees / 7-14 degrees / 14-20 degrees
Mouth / eyebrows / eyes / four basic facial emotions
1. State of mouth：
Normal / mouth open slightly / mouth open totally / o-sized mouth / pout / lip pucker
2. State of eyebrows：
Eyebrows raise / frown
3. State of eyes：
Eyes open / eyes close
4. Four basic facial emotions：
Normal / happy / angry / surprise
Number of collection：
Collect one picture of each sub-emotion under each shooting angle.