Mood recognition technologies sense the emotional state of a user (via biometric sensors, cameras and interactions) and respond by performing specific, predefined actions, such as changing the lighting in a vehicle to more-subtle colors to address a user’s high-stress level or playing dynamic music to address driver fatigue. The technology can also be used for other applications and segments, including driver education to reduce potential accidents and improve the driving experience.