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Method for generating a personalized classifier for human motion activities of a mobile or wearable device user with unsupervised learning
Method for generating a personalized classifier for human motion activities of a mobile or wearable device user with unsupervised learning
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机译:用于为移动或可佩戴设备用户的人体运动活动生成个性化分类器的方法,具有无监督的学习
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摘要
Motion activity data is collected from at least one sensor. An initial motion activity classifier function is applied to the motion activity data to produce an initial motion activity posteriorgram. Pre-processing and segmenting the motion activity data into windows produces segmented motion activity data from which sensor specific features are extracted. An updated motion activity classifier function is generated from the extracted sensor specific features. Subsequent motion activity data is also collected from the at least one sensor, and the updated motion activity classifier function is applied to the subsequent motion activity data to produce an updated motion activity posteriorgram.
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