APPLICATION OF DECISION TREES TO THE FALL DETECTION OF ELDERLY PEOPLE USING DEPTH-BASED SENSORS

 The paper presents application of the decision tree to the fall detection of elderly people monitored by the infrared depth sensors. The decision making system works on data acquired by the sensor, recording movement of the person and raising the alarm if his or her behaviour suggests the accident occurred. From the measurement data the morphological features were extracted, further processed by the decision tree. Various configurations of the classifier have been verified, proving its usefulness to solve the presented task.

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