When an Ohio State University study tested how well facial recognition software could detect emotions, it received a 96.9 percent accuracy rate with the six basic emotions and a 76.9 percent accuracy rate with compound emotions such as “happy surprise” and “angry fear.” Emotient, a company that uses machine-learning algorithms, is developing an app for Google Glass that detects emotions in real time. Lead scientist Marian Bartlett says the app will be on the market soon. Continue reading Detect Emotions via Google Glass with Facial Recognition App