Xiaomi Youpin launches AR somatosensory sports host 'Consumption of a bowl of rice in 15 minutes'

[CNMO News] On the morning of September 7, CNMO learned that Xiaomi Youpin’s crowdfunding platform launched a new product - AR somatosensory sports host, which has highlights such as real people entering the fantasy world, fun fat burning and scientific quantitative training. , which claims to “consume a bowl of rice in 15 minutes.” In terms of price, the crowdfunding price of the AR somatosensory sports host starts at 1,199 yuan, and the official price starts at 1,799 yuan.

AR somatosensory sports host

According to CNMO, the AR somatosensory sports host can enter the sports virtual world by connecting it to the TV at home. With the support of 10T heterogeneous computing power and AI segmentation algorithm, users can be extracted from the real world and immersed in virtual scenes. The machine is also equipped with 12-core dual-core and ultra-wide-angle lens, which can accurately capture body movements. Moreover, the starting point is a purely visual motion capture route, and you can quickly enter the motion state without wearing other pens.

AR somatosensory sports host

In terms of application ecology, the AR somatosensory sports host has a large number of built-in sports games. The content is updated every week, and levels will continue to be added, similar to fighting monsters and upgrading. It is reported that new sports categories will be added every 90 days, with more than 240 new content added every year.

The AR somatosensory sports host can also cooperate with mobile applications for data statistics and analysis. You can even see the quantitative data of each exercise part, as well as exercise efficiency analysis and fat burning effect calculation. In addition, this sports console also has certain social attributes. Users can compete with friends online or join interactive PK at home.

The AR somatosensory sports host can be used with a heart rate armband. Once equipped, it can monitor calories in real time, count daily, weekly and monthly consumption, and combine it with its own multi-dimensional data to achieve scientific fat burning.

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