It has been demonstrated that electroencephalogram (EEG) readings can be mapped to images, audio, or language perceived by a user, such that a machine-learning model trained on EEG readings can infer the user’s thoughts. This disclosure describes techniques that use a head-mounted device, e.g., smart glasses, to measure, with user permission, a user’s EEG, and based on the measurement, infer the user’s intent or reconstruct the user’s thoughts, e.g., images or audio therein. In situations where a user can only partially recall a search phrase, the techniques enable determination of the user’s search intent from the user’s EEG. In other situations, the techniques enable the user to control Internet-of-Things (IoT) sensors, e.g., the user can change the temperature of a room by visualizing a thermostat.
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N/A, "Using EEG to Predict Search Intent and to Control IoT Devices", Technical Disclosure Commons, (March 09, 2020)