Balance capability evaluation method and device
A technology of balance ability and evaluation method, which is applied in the computer field and can solve the problems of inaccurate evaluation scores, errors, and quantitative user balance ability.
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no. 1 example
[0040] See figure 1 , figure 1 A method flowchart of a method for scoring multi-classification results provided by the first embodiment of the present invention is shown.
[0041] Said method comprises:
[0042] Step S10: Acquiring target data to be classified;
[0043] Step S20: Input the target data into a preset classifier to obtain N classification categories and the probability value of each classification category for the target data; wherein, each classification category corresponds to a score interval, adjacent The score intervals of the classification categories are continuous, and N is a positive integer;
[0044] Step S30: Determine a reference value for scoring the target data according to the N classification categories, the N score intervals, and the N probability values;
[0045] Step S40: adjusting the reference value according to the N score intervals and the N probability values to obtain the score of the target data.
[0046] In this embodiment, after...
no. 2 example
[0071] see figure 2 , In this embodiment, a balance ability evaluation method is also provided, and the method can be applied to the local processor of the balance instrument, and can also be applied to the cloud server of the balance instrument, without limitation.
[0072] The methods include:
[0073] Step S100: Obtain the user's balance ability test data collected by the balance instrument; the balance ability test data includes at least a speed index and an amplitude index;
[0074] Step S200: Input the balance ability test data into a preset classifier to obtain N classification categories and the probability value of each classification category for the balance ability test data; wherein, each classification category corresponds to a Score intervals, the score intervals of adjacent classification categories are continuous, and N is a positive integer;
[0075] Step S300: According to the size of the N classification categories, the N score intervals and the N probabi...
no. 3 example
[0122] Based on the same inventive concept, the second embodiment of the present invention provides a scoring apparatus 300 for multi-classification results. image 3 A functional module block diagram of an apparatus 300 for scoring multi-classification results provided by the second embodiment of the present invention is shown.
[0123] The device 300 includes:
[0124] Target data collection module 301, for obtaining the target data that needs to be classified;
[0125] A classification module 302, configured to input the target data into a preset classifier, and obtain N classification categories and the probability value of classifying the target data into each classification category; wherein, each classification category corresponds to a score interval , the score intervals of adjacent classification categories are continuous, and N is a positive integer;
[0126] A benchmark value determining module 303, configured to determine a benchmark value for scoring the target...
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