Artificial intelligence spor✔∏• ts stopwatch, will change the futu¶¶re of sports

發布時(shí)間(jiān) : 20™ 21-07-12
 Looking ahead to the&♦ trend of 2018, the combination of€↓'↓ artificial intelligence and the Inte€₹☆rnet of Things must have been₩₹ the main theme. Zha‍→ng shows that when these two are u±☆£ sed together, the significant advantage​™s of the Internet of Thing×' ∞s and artificial intelligence c ≤≤an be remarkably demonstraβε ted. However, in the spoφγ§₽rts category Combined‍™‌, will have a profound impact on the fש₹←uture of sports - not on₽÷₩'ly in the competitive area, but also↔♣ε® in ordinary people's pα§™articipation in sports.

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From the official use of ≥♦☆the stopwatch at the First Modern Olymλ©pic Games in 1896 to the ₽δ₽manual stopwatch at th®β£δe Stockholm Games in 1912 into an el&♠÷ectronic stopwatch and the en‌★d camera, then to the Munich Olyεφ÷mpics press center for the first tim' '≤e in 1972 computers, Sydney ♥∑™2000 During the Olympic G¥♥ames Samsung released the first ♥λ₹generation of Internet ₽←≥mobile phones, the Olympic Gaδ✔≠mes to carry out every serious te∑‌→¶chnical trend in history, are acc↓φ€ ompanied by a data revolution. Spπ ​ecialized sports professor said that A‍ libaba's big data advantage ×‍§≥is its hand in hand the IOC t→✘↔βo become the Olympic Games th ↕✘γe world's leading cooperative pa≥€♠>rtner address. The data is the foundati♦λon of artificial intellige↕±nce and Internet of Things, leav"★ing the data, both are÷→ mirages.

Ali sports stopwatch t♣↔o make sports simple strategy∞∑ for this also Alipay's co ≈$ncept of inclusiveness brought to>₽ the CES venue. According ∞↕to Zhang Dazhong introducti  ™on, both the Olympic coo¥∑✘‍peration is still the A₩‌♦£sian Games collaboration, the± σσ deeper meaning is to serve t‍∏ε✔he same skills in cutting-edge eve$'≈δnts to serve ordinary people, Al×¥☆βi Sports to complete the≠☆€≥ " stopwatch movemen>>σ‌t more simple" by∑←γ Is a combination of inte↑>÷✔lligence and the Intern®​↑↕et of Things. According t§☆α&o his leak in the lecture, the newly ∞←δapplied computer vision aiσ↓✔<ded detection of the human body joint p ♦oint in the field of≤‍ professional sports is being tri"‌♥ ed out by young sports at‌λ§hletes in the same way with stopw₽±↔atch , that is, in sports↕© such as gymnastics and sk↓ i time In the standardized¶ ×α training project, this ↑↑<​skill sets the scientific viewpoints∏₩ through the dynamic change o≠>≤f video grabbing human j∞→≤oints. And it can not only be moni≠₽♠₽tored one-by-one throu♥<""gh video recording, but∞₩< also for training with multiple p•φ eople. When a hundred children e←↕xercise sports training together, tα®‍hey can use 100 stopwatch memori♠♥₩es , perhaps parents It&#α→39;s hard to find your "∞kids, but computers are we×✔≠ll-trained to be pinpo☆•inted. This is how the applic≈  σation of high-end stopwat≠™✔ch to daily exercise, Zhang said: ÷​↑"The Internet of tπ<hings to make the data become tempφ¶erature, we have to d• ★™o is put the data into the deta¥±§​iled application of motion, a"₩t any time, any address, In ↔✔any way, give the most ★♥  limit to the use of stopwa£★₽×tch sports people lunchbox. "