发明公开
EP3222207A1 SYSTEM AND METHOD FOR NON-INTRUSIVE DETECTION AND MONITORING OF PARKINSON'S DISEASE SYMPTOMS 审中-公开
用于非侵入性检测和监测帕金森病症状的系统和方法

SYSTEM AND METHOD FOR NON-INTRUSIVE DETECTION AND MONITORING OF PARKINSON'S DISEASE SYMPTOMS
摘要:
A method and apparatus for creating an anomalous behavior detection log for reporting anomalous behavior of a monitored individual in an environment are described including training an anomaly detection classifier using first time-stamped event data for an initial period of time and raw sensor data, accepting second time-stamped event data of subsequent behavior from sensors in the environment for a subsequent period of time, logging the second time-stamped event data of subsequent behavior of the monitored individual, mining an action sequence based on a selected subset of mined manipulation patterns, calculating an anomaly score of each mined action sequence using the anomaly detection classifier and creating an anomalous behavior detection log based on the anomaly scores.
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