Unsupervised discovery of activity primitives from multivariate sensor data
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چکیده
منابع مشابه
Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from traditional supervised methods in that there is no requirement for manually labeled training datasets. In addition, they minimize the need for field experts’ knowledge during the setup phases, which makes the deploymen...
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تاریخ انتشار 2008