Abstract: A system and method of detecting food intake events from wearable devices. The system comprises a signal bank to store physiological digital data signals collected via a wearable device comprising at least one sensor to sense at least one physiological parameter of a user. The system comprises a preprocessor module to process the physiological digital data signals stored on the data signal bank and to create a descriptive representation of the sensed at least one physiological parameter. The system also comprises a feature extractor module, with two parallel function modes, comprising features that are automatically learned while others are analytically derived from the descriptive representation. Thus, the feature extractor is configured to select at least one of the modes. The system also comprises a probability estimator module to determine whether a food intake event of the user occurs based on the extracted features.