Smart keyboard app monitors typing, predicts emotion

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Using affective computing, the Cornell Tech team’s Keymochi emotion-predicting keyboard app is being developed for eventual commercial and healthcare use. A working prototype has been developed based on the development team’s own exaggerated emotional data, and the predictive accuracy is already 82 percent. The app works by monitoring a user’s typing speed, phone movements, punctuation and general sentiment of the message, whether text or email. Data is encrypted, and the app only saves the way in which a message was typed, not the content. With small changes in facial expression affecting someone’s typing, the team hopes to use the app’s…

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