Network learning family education robot based on big data

Abstract

The invention belongs to the technical field of network family education, and particularly relates to a network learning family education robot based on big data. The robot comprises a main body mechanism, an auxiliary mechanism and a monitoring mechanism; the main body mechanism comprises a movable seat, a supporting shaft, an adjusting column, a cushion and a backrest; the movable seat is a polygonal plate-shaped structural body; universal wheels are rotationally connected to the corners of the movable seat; the supporting shaft is fixedly connected to the upper surface of the movable seat; the supporting shaft is inclined relative to the upper surface of the movable seat; the supporting shaft is sleeved with an adjusting column; and an adjusting hole is formed in the adjusting column. According to the invention, the inclined pedal and the seat cushion which is automatically inclined according to the gravity of the user are matched with the backrest, so that the sitting posture of the user is guided and adjusted, the back of the user is straight in the learning process, and unrecoverable injury to the spine of the user caused by long-term bent sitting posture of the user is avoided; and meanwhile, the straight sitting posture effectively enables the attention of the user to be more concentrated, and the learning efficiency is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of online tutoring, in particular to a big data-based online learning tutoring robot. Background technique [0002] With the rapid development of society and the rapid development of big data network, big data network learning has become a teaching method, which makes the teaching knowledge more extensive and improves the teaching quality. However, the traditional online teaching tutor robot is fixed on the desk through the computer and the camera. Composition, the larger desk takes up a lot of space, which is not conducive to the user's handling, and is not conducive to the use in small areas. It is inconvenient to store and fix the computer during use. At the same time, it needs to be equipped with a seat during use, which makes the equipment occupy more space. Larger, and due to the fixed structure, the user cannot flexibly change the position when using it. At the same time, through the cooperation of th...

AI Technical Summary

Problems solved by technology

[0005] In order to make up for the shortcomings of the existing technology, the existing network teaching robot needs to be equipped with a seat during use, so that the equipment occupies a large position, and due to the fixed structure, the user cannot flexibly change the position when using it, and at the same time Although the user's learning status can be compared with the data on the big data network through the cooperation of the camera and the computer, and then the user's status can be roughly judged, but it is impossible to effectively guide the user's posture during learning. The present invention A network learning tutor robot based on big data is proposed

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