Wearable device data optimization processing method based on editing distance

Abstract

The invention discloses a wearable device data optimization processing method based on the editing distance. The method includes the steps of firstly, conducting simple zero crossing point data segment on data fed back by a sensor; secondly, conducting periodic detection, and conducting the following more detailed periodic distinguishing if the data conforms to periodic action standards after periodic detection is completed; thirdly, conducting editing distance calculation on a data stream of the second step, and obtaining the calculation result; fourthly, obtaining the final precise result according the result of the third step and through the assistance of a correction function, and making the precise result conform to the objective common sense; fifthly, putting forward an undirected graph concept for a multi-sensor system, and calculating all edge weight values through the similarity algorithm; sixthly, obtaining the minimum sensor set Vf through the optimal node algorithm. According to the method, the existing long data processing flow in a single-sensor system is abandoned, and in a multi-sensor system, the aims of saving energy and reducing space expenses are achieved through an undirected graph and a dynamic planning function.

Description

technical field [0001] The invention relates to a data optimization processing method, in particular to a wearable device data optimization processing method based on edit distance for action determination and energy saving in single sensor and multi-sensor systems. Background technique [0002] With the widespread use of wearable devices, the data processing process makes the accuracy, sensitivity and persistence of the devices more and more important. Especially in some emerging application fields, such as the medical field, wearable devices are used for intensive care and motion correction. Therefore, the traditional data processing process will cause a lot of unnecessary time and space overhead. In a wearable device system, it is generally divided into a terminal and a central processor. The main function of the terminal is to collect motion data, mostly sensors, such as acceleration sensors, gyroscope sensors, etc. The central processor is mainly used to quickly proce...

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Problems solved by technology

In addition, in their work, a large number of data sets and machine learning are required, resulting in a significant increase in the overhead of the entire system, and with the diversification of the determination conditions, the system overhead is gradually increasing

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