Research on measurement modeling of track and field training load intensity based on wearable nano-equipment
Tóm tắt
In order to solve the problems of long data collection time, measurement relative error and high time consumption of traditional methods in track and field training, a measurement modeling method of track and field training load intensity based on wearable nano-equipment was proposed. Using the wearable nano-equipment acquisition heart rate, pulse, blood oxygen saturation, such as track and field training load data, and by using the multi-core fuzzy c-means clustering algorithm to cluster the data collected, the extraction of track and field training load intensity characteristics, to build a track and field training load intensity measurement model, realizes the track and field training load intensity measurements. Experimental results show that the maximum and minimum data acquisition time of track and field training is 0.42 s and 0.21 s, and the measurement relative error rate is 3.7–8.2%. The measurement time consumption is always lower than 0.73 s, and the practical application effect is better.
Tài liệu tham khảo
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