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Big data-based attitude discrimination method for low-end hardware equipment

A technology for hardware equipment and attitude discrimination, which is applied in the input/output process of data processing, branch equipment, electrical digital data processing, etc. It can solve complex and low-end hardware equipment problems and enhance memory capabilities , Improve the classification accuracy, the effect of high precision

Inactive Publication Date: 2020-06-26
杭州十域科技有限公司
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

This method is not only complicated, but also cannot solve the recognition scenarios of low-end hardware devices or low-frequency devices very well.

Method used

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  • Big data-based attitude discrimination method for low-end hardware equipment
  • Big data-based attitude discrimination method for low-end hardware equipment
  • Big data-based attitude discrimination method for low-end hardware equipment

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Embodiment Construction

[0026] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0027] see Figure 1-3 , the present invention provides a technical solution: a posture discrimination method for low-end hardware devices based on big data, including a big data terminal 1 and an air pressure measuring device 10, the bottom of the big data terminal 1 is provided with several supporting feet 9 A support frame 23 is provided above the support feet 9, a base plate 8 is provided outside the support frame 23, a neural network system 6 is provided ...

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Abstract

The invention discloses a big data-based attitude discrimination method for low-end hardware equipment. A big data terminal and an air pressure measurer are included, a plurality of supporting legs are arranged at the bottom end of the big data terminal; a support frame is arranged above the support legs; a bottom plate is arranged on the outer side of the supporting frame; a neural network systemis arranged above the bottom plate; a memory is connected above the neural network system; heat dissipation plates are arranged on two sides of the memory; a top cover is arranged above the memory; abarometer shell is arranged on the outer side of the barometer; a barometric sensor is arranged in the barometer shell; signal enhancement devices are provided on both sides of the air pressure sensor, a data transmission port is provided under the air pressure sensor, and an electric board is provided under the data transmission port. According to the present invention, the structure is simple,the operation is very convenient, and the characteristics can be extracted from the data more accurately, conveniently and automatically by using the deep learning algorithm.

Description

technical field [0001] The invention relates to a signal processing device, in particular to a posture discrimination method of low-end hardware equipment based on big data. Background technique [0002] With the improvement of the intelligence level of mobile phones indoors, more and more applications need to recognize human behavior and mobile phone gestures to support product mode switching in different scenarios. Usually attitude judgment relies on the acceleration sensor and gyroscope sensor of the mobile phone. The acceleration sensor recognizes the motion acceleration in the three directions of x, y, and z axes. The gyro sensor recognizes the x, y, z axis three-axis rotation angle. Human motion postures are diverse and unpredictable. However, the quality of sensing and data frequency are also varied, and the noise of the collected data is usually relatively strong, and the data frequency is not stable. [0003] Common behavior recognition methods stipulate several...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04M1/725G06F3/0346G06N3/04H04M1/724
CPCG06F3/0346H04M1/724G06N3/044G06N3/045
Inventor 韩业强徐强王超
Owner 杭州十域科技有限公司
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