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Detecting unusual inactivity by introducing activity histogram comparisons

机译:通过引入活动直方图比较来检测异常活动

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Unusual inactivity at elderly's homes is an evidence that help is needed. Hence, the automatic detection of abnormal behaviour with a low number of false positives is desired. The aim of this work is to improve the accuracy of inactivity detection by introducing a new approach based on histogram comparison in order to reliably detect abnormal behaviour in elderly's homes. The proposed approach compares activity histograms with a pre-trained reference histogram and detects deviations from normal behavior. Evaluation is performed on a dataset containing 103 days of activity, where six days were reported as containing “unusual” inactivity (i.e., longer absence from home) by an elderly couple.
机译:老人家中不寻常的不活动是需要帮助的证据。因此,期望具有少量误报的自动检测异常行为。这项工作的目的是通过引入一种基于直方图比较的新方法来提高不活动检测的准确性,以便可靠地检测老年人房屋中的异常行为。所提出的方法将活动直方图与预训练的参考直方图进行比较,并检测与正常行为的偏差。对包含103天活动的数据集进行评估,其中有6天被报告为一对老年夫妇包含“不寻常的”不活动(即,长时间不在家里)。

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