How to use technology to improve the performance of athletes

"Big Data" is very popular in the IT industry in recent years, it collects a large amount of special data for some kind of thing, industry and so on, and carries on the specialized analysis processing to these data, to each company, the organization as well as the individual and so on provides the valuable analysis result and the advisory opinion, transforms the massive data into the valuable power. The use of Google Flu trends to predict the spread of avian influenza, the police use large data to predict the occurrence of crime, businessmen use large data for consumers to customize the corresponding unique personalized services, etc., these large data applications are increasingly common. And for professional athletes also attaches great importance to the scientific nature of training, the same use of large data on training, competition data analysis, aiming at their own lack of targeted training, so as to improve the overall level of competition.

In the just-concluded Asian Cup football match, attentive people will find that the internationals will wear a black sports vest when training before the game. Many media think this vest is only "sweat or breathable", but in fact it has a high technical content: it is a device to monitor the physical condition of the player, with a mounting bag behind it, Can be the tracker into the bag, so that the tracker close to the back, while the chest installed stick rate band, can receive a variety of real-time heart rate data, calculate the speed of athletes, acceleration, impact and other data. The device is able to monitor the player's physical fitness and bring the player's physical condition to the computer on the side of the field, giving the instructor a clear picture.

Gpssports launched a sports vest that collects data through sensors and deals with professional software

(Note: This picture comes from the network)

Through these equipment, we can collect the training data of every football player for a long time, record the real-time cardiopulmonary function of the players, quantify the data through special formulas, and the coach can see it in real time, just like playing football games. After a period of time, through the professional software for these data analysis and processing, you can let the coaching team for each athlete's training, physical condition of a detailed understanding of each member of the different physical conditions of targeted training, to achieve better training results.

In the aftermath of the tennis game, real-time statistics are released for the audience, which is part of the Big data analysis.

(Note: This image is from the Australian Open video live screen)

Of course, in addition to the professional athletes and coaches to provide analysis results, through large data systems can also help improve the quality of the field broadcast. In tennis and basketball competitions, the broadcasters will present the game team or the athlete's match data to the audience, let the audience better watch and analyze the game, after all, the current level of the audience is also improving. It can be said that the current sports in the big data is everywhere, then in addition to this seemingly mysterious sports vest, professional athletes how to improve their level through large data?

The most famous "Milan Lab"

As the "World's first movement", although football in the degree of burning money than the car, but in the technology is not lagging behind. Football players have been constantly upgraded to match and auxiliary training equipment, and after entering the "Big Data" era, both famous football clubs and national teams spend heavily on purchasing relevant instruments and equipment to increase the effectiveness of training. One of the best-known is the Milan laboratory.

"Milan Laboratory" is a special High-tech research center set up by AC Milan Club of Italy, which was formally put into use in March 2002, it is the perfect combination of technology, it, cybernetics and psychology, and the optimal management of athlete's psychological and physical condition. The Milan laboratory employs the most advanced and innovative software technologies in information gathering and processing. Through the establishment of players database, large data management and analysis, and player status prediction, the results of large data analysis were used to diagnose and recover the injury.

The famous Milan laboratory has a lot of classics, but later, because of lack of funds and "lost sight"

(Note: This picture comes from the network)

Through a variety of chip-sensing systems, Milan lab staff can collect and process data and learn to keep up to date with the stored information and find out what factors dominate the "dangerous events" players encounter in order to make more realistic predictions about future development. The athletic state of athletes is influenced by three subsystems: structure, biochemistry and spirit. Therefore, information about the physical and mental health of each player is collected by the Milan laboratory through a fine wiring system developed by Unysis and AMD, and then analyzed by the software system developed by Computer Associates, The end result is an exclusive technical analysis of the highly innovative PAS (predictive Analysis Server, predictive analytics servers), which function primarily to anticipate and alert players to possible risk events and to address or avoid these risks through targeted training.

Scientific training allows the veteran to maintain a high level while reducing the risk of injury

The core of the Milan laboratory is the acquisition of player data, management analysis and player status prediction. The system is provided by world-renowned companies such as Unysis, AMD, and Computer Associates. The Milan laboratory has provided many valuable suggestions to the club through the analysis of large data, such as the purchase of Cafu and other veteran to reduce the team's operating costs, but with the help of the Milan laboratory, these veterans are in excellent condition and rarely suffer from injuries. Even the Milan laboratory, through data-recording analysis, provided a "startling" suggestion to coach Carlo Ancelotti: abandoning Rui and enabling the fledgling card. Kaka's excellent performance helped AC Milan win the seventh Champions League trophy in 2007, greatly increasing the prestige of the Milan laboratory.

Soccer and football shoes also play smart

After entering the intelligent age, various wearable devices have sprung up. But before the advent of these devices, professional footballers and their trainers had started to use "smart" football shoes and football to analyze training data. A few years ago, a well-known sports brand introduced a pair of football shoes adizero F50 III, which could be placed on a sensor chip, as well as a soccer micoach NCAA with a built-in sensor chip to capture various data on players playing.

Now Adidas brand football shoes will be equipped with chip slots on the soles

In smart football shoes, its biggest feature is the design of a chip slot on the left foot, you can place a dedicated sensor chip (this chip needs to be purchased separately), it can record the runner distance, sprint speed, sprint times, sprint distance and movement time, etc., these data can be transferred to the PC, Mobile phones and tablets, through professional software for recording, sorting and analysis, for players, coaches and even the medical staff to provide reference.

Through the intelligent football and football shoes will train the data transmission to the handset and the tablet computer, through the software analysis

And smart football can play a similar role, but more emphasis on testing the ball data, such as shooting, passing and so on, it built a few tiny suspension sensor, recording each touch of the ball data, such as the force size, the position of the stress point, the degree of rotation, the trajectory of the flight, and so on, And its interior consists of 12 collision-absorbing arm systems to protect electronic components while avoiding interference with the ball's natural flight lines. The sensor captures the data and sends them to the phone and to the tablet for analysis and processing, telling you why you can't kick out of the "bass arc" or why you just shot it as "flak."

All kinds of big data in tennis

When it comes to data analysis, tennis matches are the most frequently presented data, from the television (parameter picture article) on the broadcast, we can frequently see each player's service speed and other information, and each completed a disk can see the relevant technical statistics, and "Eagle Eye" Such high-tech equipment is also the first to use in tennis, So, as opposed to other sports, the latest technologies are used in tennis, and so are the big figures.

IBM SlamTracker analysis of Djokovic and Murray's line and ball speed at the time of second rounds

(Note: This image is from the Australian Open video live screen)

From a few years ago, IBM and other enterprises for the four Grand slam, major events such as the championship provide large data Analysis Services, not only for players and coaches, but also for live television, so we can see a variety of "tall" data analyses on live television, such as the track and speed of players serving in different races, and the location and distribution of the hitting points.

Large data analysis Djokovic's batting point comparison at the Australian Open final and semi-final bottom line

(Note: This image is from the Australian Open video live screen)

At the same time, through the professional software analysis such as IBM SlamTracker, it can also give professional players some strategy suggestions, now professional players and coaches will use these large data to develop game strategy and tactics. For example, before the 2013 United States Open semi-final of Li Na and Little Williams, through the analysis and processing of all the previous competitions, IBM put forward the three key elements of winning the game: a score of more than 69%, 4 to 9 for a stalemate when the score ratio of more than 48%, The score rate for service 30:30 or duece is more than 67%. At that time, Li Na only completed the second factor in the competition, Williams completed the first and third indicators, and eventually sister Na 0:2 lost to the little Granville, did not get access to Flushing Stadium tickets.

Large data Analysis Williams and Keith in the game when the number of rounds in 3, 4 to 8 and 9 of the score compared to the number of points

(Note: This image is from the Australian Open video live screen)

In addition, the current tennis racket is also starting to support a variety of sensors. At this year's CES show, Sony has launched a tennis racket can be placed on the handle of the sensor, which can collect all kinds of data, such as swing amplitude, speed, racket point, shoot speed, batting speed, rotation, and so on, and can be recorded to send to the mobile phone, Tablet computer through a dedicated app for analysis and processing, to correct the movement of athletes swing and so on, in the small technical aspects of the start to improve, and ultimately improve the overall level of competition. 、

Amateurs can also play "Big Data"

In fact, the so-called big data is not unattainable technology, as these sensor chips become cheaper, app application functions become more and more rich, so in fact, in addition to professional athletes, many amateur enthusiasts will imitate their favorite players, through the purchase of these chips combined with analysis software to improve their level , such as the chip placed in football shoes, running shoes or tennis racket, through a long period of large data analysis to understand their sports status, can obtain more professional guidance and training, in the ability to quickly improve their level of strength can also be more healthy exercise.

(Responsible editor: Mengyishan)