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METHOD FOR RECOGNIZING USER CONTEXT USING MULTIMODAL SENSORS

机译:使用多模态传感器识别用户上下文的方法

摘要

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.
机译:提供了一种使用多模式传感器来识别用户上下文的方法,该方法包括通过从从加速度计收集的加速度计数据中提取运动特征的候选者,从提取的基于运动特征的候选者中选择一个或多个运动特征来对加速度计数据进行分类。然后根据其相关性和冗余性,然后使用第一时间序列概率模型基于所选择的运动特征来推断用户的运动类型;通过从从音频传感器收集的音频数据中提取周围特征并基于提取的周围特征来推断用户的周围类型来对音频数据进行分类;通过基于移动类型或周围环境类型来识别用户上下文来识别用户上下文。

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