this project uses several public data sets which record elder individuals' sensor firing circumstances at home to find ADL patterns, and apply machine learning algorithms to these data and simulate their potential activities so that detect anomalies.
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yachuan/elder-home
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finding ADLs patterns and anomaly activities from many data sets.
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