Emotions matter, they influence how we live work and think.  However, in our digital world, full of hyper-connected devices, smart technology and advanced AI systems, emotion is missing.  This hampers not only how we humans  interact with technology, but also how we communicate with each other as more of these communications take place online. Affectiva is on a mission to bring emotional intelligence to the digital world.  Affectiva’s emotion recognition technology is the Emotion AI platform that will power these emotion-aware technologies and digital experiences.

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How It Works

Using Affectiva’s Custom Emotion Training & Classifiers framework you can train classifiers from diverse data sets in order to understand context specific emotions such as drowsiness, distraction and frustratration.

For example, automotive manufacturers can build a custom classifier to identify when drivers are getting drowsy so that the car can sound an alert. Educators can create an engagement classifier that shows when students lose interest and optimize their curriculum to make it more interesting.

 

Features & Benefits
Emotion analysis, and gathering APIs
APIs that perform a frame level analysis of emotion, and provide the feedback either in realtime by performing the analysis on device (SDKs), or offline analysis (Cloud API). <br />
Analytics UI
A Web UI that exposes a set of data transformations and visualizations curated by Affectiva to help developers and partners visualize the data they are collecting, and report on high level metrics to help gauge user experience and interaction.<br />
Predictor APIs
APIs to describe, kickoff training and provide feedback for a frame and session level classifiers. The training is bootstrapped by annotated data collected through developers and partners. In addition, APIs provide information about accuracy.
Data access API
Allows developers and partners to access their data as raw data, norms, visualization api, predictors, and specific classifiers.