Abstract

Due to the geographical and natural conditions, the development of skiing events is more resistant in China, and the training venues, methods, and concepts are insufficient, making it difficult for Chinese skiers to make some progress and aspire to the highest peak in this field. The purpose of this study is to explore and analyze the survey data of the professional physical training of skiers in summer training based on big data. Big data is employed to investigate and analyze the special physical training of skiers in summer training. Based on the data of professional physical training of skiers in summer training under big data, the current situation of skiers in summer training is examined, and the limitations are compared to improve the traditional physical training of skiers. Results show that the special physical training of skiers based on big data is more feasible in summer training, and the improvement of training effect is more obvious than traditional physical training. The training effect of the proposed method can more effectively solve the difficulties in summer training for skiers and understand the essentials of the action.

Highlights

  • Long-term endurance training will ideally lead to better performance and physiological indices. ese changes in physiological indices are measured by scientists and coaches to provide valuable analytic information about the effects of training [1]

  • The design of the training plan should follow the characteristics of local conditions. e training plan of each event is a structured training system established for different training periods and different sports characteristics of each athlete [3]

  • In order to make the results of this experiment more scientific and effective, this study compares the traditional special physical training of skiers in summer training with the special physical training of skiers based on big data

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Summary

Introduction

Long-term endurance training will ideally lead to better performance and physiological indices. ese changes in physiological indices are measured by scientists and coaches to provide valuable analytic information about the effects of training [1]. Presently there is inadequate information on how these physiological indices change in elite endurance athletes during months and years of training and how these changes affect performance. A total of fortyeight skiers including twenty females and twenty-eight males of the Austrian ski team were investigated before and after the training Physical characteristics such as age, height, body mass index, and body fat and thigh circumference were recorded from each player. Losenegard et al [10] observed variations in aerobic and anaerobic volumes and performance in a group of elite cross-country skiers throughout a full sports session. Keeping in view the abovementioned research works, the purpose of this article is to improve the professional level of skiers For this purpose, the survey data of skiers’ summer training specific physical training are examined and analyzed.

Physical Training of Skiers in Summer Training Based on Big Data
Strength Training
Special Physical Training of Skiers in Summer Training Based on Big Data
Findings
Experimental Analysis

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