“Face videos” are video recordings of people as they go about an activity such as watching online videos or driving a car. We have now gathered 5,313,751 face videos for a total of 38,944 hours representing about 2 billion facial frames analyzed. So how do we collect this emotion data? Where this data comes from Essentially, this massive data allows us to create highly accurate emotion metrics and provides us with fascinating insights into human emotional behavior. Transparency is really important to us at Affectiva, so we wanted to explain how we collect this data and what we do with it. In the past year, we have expanded our data repository to include other contexts such as videos of people driving their cars, people in conversational interactions and animated gifs.
#Emotion faces movie
To date, the majority of our database is comprised of viewers watching media content (i.e, ads, movie trailers, television shows and online viral campaigns). This global data set is the largest of its kind – representing spontaneous emotional responses of consumers while they go about a variety of activities.
![emotion faces emotion faces](http://www.newdesignfile.com/postpic/2014/02/yellow-smiley-face_74694.jpg)
![emotion faces emotion faces](https://www.rewardcharts4kids.com/wp-content/uploads/2014/04/feelings-chart7-1.jpg)
To be precise, we have now gathered 5,313,751 face videos, for a total of 38,944 hours of data, representing nearly 2 billion facial frames analyzed. Affectiva’s emotion database has now grown to nearly 6 million faces analyzed in 75 countries.