The fact that it is difficult to get the fall data leads to the imbalance between normal activity and abnormal activity.The fall detection model trained on the imbalance data set has high missing alarm rate and false alarm rate, and can't meet the actual requirement. To solve this problem, a fall detection method based on weighted extreme learning machine is proposed. This method will consider the influence of sample quantity of different kinds of activities, assign a weight value to each kind of activity, ...
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