Just now, our national team won the first snow event medal in the Beijing Winter Olympic Games! BIT’s “Data Steward” helps!

At noon on February 7,

the Final of Men’s Snowboard Slopestyle in Beijing Winter Olympic Games came to an end at Zhangjiakou Yunding Ski Park.

Su Yiming, a 17-year-old Chinese player, won the silver medal and

achieved the best result in China’s history of this sport in the Winter Olympic Games.



Su Yiming, born in 2004, is the youngest of the 30 competitors and is certified by Guinness World Records as “the first athlete to complete the 1980-degree inside turn catch of snowboarding”. In the process of his preparation for the Winter Olympic Games, BIT's scientific and technological strength provided support.

Snowboard Slopestyle

Among the various types of snowboarding competitions, the slopestyle has become the most ornamental with long track, continuous setting of multiple groups of jumping platforms and props, and full display of snowboarding skills. During the competition, athletes demonstrate their superb skills and creativity through technical movements such as flying, jumping, tossing, and spinning when passing through various obstacles on the track at high speed. Unlike other events, the design of each track of slopestyle is unique, so competitors also need to have a strong ability to adapt to changes.



Yunding Ski Park will hold two sub-events of freestyle skiing and snowboarding in 20 events. 20 gold medals will be produced in freestyle aerials, moguls, halfpipe, slopestyle, parallel giant slalom and ski cross.

In the Snowboard Slopestyle,

the athletes pass through 3 prop areas and 3 platform areas in turn, and

complete sliding or jumping movements of certain difficulty.

Then, they will be scored according to

the difficulty coefficient and completion of the movements.


In order to help the national team find deficiencies more accurately and

carry out targeted training,

BIT scientific research team has developed a “smart system” to

bring a “data account” for sports training.

From April to September 2021,

it followed the national team to

provide scientific and technological assistance for training in Changbai Mountain, Jilin, Chengdu, Sichuan and Laiyuan, Hebei.

BIT’s “Sports Data Steward”

The sports biomechanics team led by Prof. Huo Bo, School of Aerospace Engineering, BIT, has developed an intelligent training management system for winter events with completely independent intellectual property rights. The system includes four subsystems: the first is the athlete posture measurement and recognition system, the second is the aerodynamic experimental measurement and numerical simulation system, the third is the real-time monitoring system of physiological parameters with flexible sensors, and the fourth is the sports biomechanical analysis system that comprehensively considers attitude, external force and physiological functions. The system can conduct real-time scientific analysis on the spot to help coaches and athletes find deficiencies more accurately and improve performance through targeted training.


“Full-dimensional” real-time data collection

Through a series of “black technology” means such as multiple groups of high-speed cameras and ultra-thin pressure insoles with nearly 100 sensors, the winter event intelligent training management system can collect the three-dimensional posture and ground reaction force of athletes’ various special actions in real-time, and form an aerodynamic database based on wind tunnel experiments. Using the attitude recognition technology based on deep learning, the three-dimensional coordinate parameters of human joint points at different times are obtained, and the external force parameters are obtained based on sensor measurement, kinematic data back calculation and air resistance database.

The above data are analyzed and processed to form the athlete’s human kinematics and dynamics database, which provides accurate scientific support for the subsequent sports biomechanical analysis and the formulation of training plan.


Precise modeling and analysis

On the basis of all-round data collection, the team also established a skeletal muscle model of the entire human body, focusing on key muscle groups for specific sports, and calculating the skeletal force and muscle force through the analysis of human musculoskeletal dynamics.

Efficient feedback optimization

According to the skeletal muscle model of the entire human body, it analyzes and calculates the functional ability of the muscles and the risk of skeletal injury of the athletes during exercise, tells the coaches the results of the analysis, how the athletes’ muscle strength is used, and which key muscle groups are playing a leading role, and then improve daily training programs to improve athletic performance and reduce injury risk, and provide individualized training plan for athletes.


The system performs kinematics analysis on Su Yiming

In slopestyle, the sliding, taking-off and flying movements of the platform are the basic technical movements. The system has analyzed the kinematic data of different difficult technical movements for Su Yiming.

Through the intelligent training management system of winter events, coaches and athletes can deeply understand the whole process of athletes’ sports status in a more intuitive and scientific way, compare the analysis reports generated each time, and continuously adjust the sports posture and force mode, so as to help athletes continuously improve their training results and contribute scientific and technological strength to winning gold medals in the Winter Olympic Games.


Inheriting the red gene,

BITers are determined to serve China to be a powerful country, and

apply excellent scientific and technological achievements to the Olympics to

achieve self-reliance and self-improvement and to

contribute to the wonderful Winter Olympic Games!