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Abstract

There is provided a method for recognizing a user context using multimodal sensors, and the method includes classifying accelerometer data by extracting candidates for movement feature from the accelerometer data collected from an accelerometer, selecting one or more movement features from the extracted candidates for movement feature based on relevance and redundancy thereof, and then inferring a user's movement type based on the selected movement features using a first time-series probability model; classifying audio data by extracting surrounding features from the audio data collected from an audio sensor and inferring the user's surrounding type based on the extracted surrounding features; and recognizing a user context by recognizing the user context based on either of the movement type or the surrounding type.

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First Claim