Human body behavior recognition device for correcting sitting postures of children

Abstract

The invention discloses a human behavior recognition device for correcting the sitting posture of a child, and the device comprises a backrest and a pedestal, a second induction plate and a pedal aredisposed at the front side of the pedestal, a seat mechanism is disposed at the central position of the upper surface of the bottom plate, and the seat mechanism comprises a seat plate, a cushion disposed on the surface of the seat plate, and a first induction plate disposed in the seat plate. A first pressure sensor is arranged at the lower end of the first induction plate and electrically connected with a single-chip microcomputer in the seat plate, a PLC is arranged in the backrest, a voice broadcast loudspeaker and a control panel which are electrically connected with the PLC are fixed toone side of the backrest, four connecting columns are arranged at the lower end of the seat plate, and a mounting seat is arranged at the lower ends of the connecting columns. An electric push rod isfixed to the lower surface of the mounting base, and an elastic contact mechanism making contact with the mounting base is arranged on the base. The human behavior recognition device is simple in structure, reasonable in design and capable of monitoring the child sitting posture in real time and giving out a prompt, and parents can correct the child sitting posture in time conveniently.

Description

technical field [0001] The invention relates to the technical field of children's sitting posture monitoring, in particular to a human body behavior recognition device for correcting children's sitting posture. Background technique [0002] Most of the existing methods for correcting children's sitting posture use human body posture collection, and then correct or artificially correct through computer analysis, and the majority of human body posture collection uses a camera device. For example, the relative position of the forearm relative to the upper arm results in a posture and thus posture control. In this case, a point cloud is usually generated by means of a depth camera, from which the current position of the respective body part and thus the correlation of the body parts to each other can be calculated by means of a calculation algorithm. The entire point cloud must be re-acquired and re-analyzed at each post-exercise human activity. This requires, in particular, a...

AI Technical Summary

Problems solved by technology

Especially when identifying small body parts or even individual body parts, this requires a huge computational cost, which is usually not available

Some acquisitions that only need to recognize fixed actions are unnecessary to use visual acquisition, not to mention wasting computer computing costs, and the effect may not be as expected. The existing acquisition devices have the following problems;

[0003] 1. Most of the existing devices for correcting children's sitting posture use human body posture collection, and then correct it through computer analysis. This method is very costly and may not be suitable for most people;

[0004] 2. In addition, the existing device for correcting children's sitting posture, if the computer has an unrecognizable posture, the device will not work normally, and the working efficiency of the device is not high

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