Cloud-based intelligent walnut motion mode identification method and system

A technology of movement patterns and recognition methods, applied in the direction of character and pattern recognition, movement accessories, instruments for pressing reflex points, etc.

Active Publication Date: 2021-01-29
金书易 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention utilizes cloud-based information collection and processing technology to overcome the shortcomings of existing Wenwan walnuts as health care products, and proposes an intelligent walnut information processing method and system

Method used

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  • Cloud-based intelligent walnut motion mode identification method and system
  • Cloud-based intelligent walnut motion mode identification method and system
  • Cloud-based intelligent walnut motion mode identification method and system

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Experimental program
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Embodiment 1

[0043] This embodiment implements a cloud-based smart walnut motion pattern recognition method.

[0044] attached figure 1 It is a cloud-based intelligent walnut movement pattern recognition method flow chart, as attached figure 1 Shown, present embodiment a kind of intelligent walnut motion pattern recognition method based on cloud, comprises the following steps:

[0045] S601. Use the internal sensor of the smart walnut to collect user motion data in real time. The collected data includes horizontal acceleration and angular acceleration in the three coordinate axis directions of the smart walnut, thereby forming six-dimensional smart walnut motion data;

[0046] S602. Convert the six-dimensional sensor data into time series according to the fixed time frequency, perform smoothing preprocessing on the constructed time series, and extract the motion trend of the processed time series according to a certain interval;

[0047] S603. Calculate the acceleration and angular accel...

Embodiment 2

[0065] This embodiment implements a cloud-based intelligent walnut movement pattern recognition system.

[0066] attached Figure 5 It is a cloud-based intelligent walnut movement pattern recognition system architecture diagram, as attached Figure 5 As shown, the present embodiment is based on a cloud-based smart walnut motion pattern recognition system, including some smart walnuts, mobile phones paired with the above-mentioned some smart walnuts, and a cloud platform; The above smart walnut built-in sensor is used to collect the user's motion data and transmit it to the mobile phone; the above mobile phone is used to receive the motion data and transmit the motion data to the cloud platform; the above cloud platform is used to receive the motion data transmitted by the mobile phone , and store, calculate and analyze motion data, and feed back the calculation and analysis results to the mobile phone; the above-mentioned cloud-based intelligent walnut motion pattern recognit...

Embodiment 3

[0072] This embodiment implements a cloud-based intelligent walnut movement pattern recognition system. This embodiment is implemented on the basis of Embodiments 1 and 2, and will be introduced from two aspects of system design and intelligent recognition algorithm.

[0073] attached Figure 5 It is a cloud-based intelligent walnut movement pattern recognition system architecture diagram, as attached Figure 5 As shown, in this embodiment, a cloud-based smart walnut motion pattern recognition system includes a smart walnut module, a smart phone data collection application module, and a cloud system data storage and calculation module. The Bluetooth low energy protocol (BLE) is used for sensor data transmission between the smart walnut module and the data acquisition application. Smartphones and cloud systems use the sensor network-based Message Queue Telemetry Transport Protocol (MQTT-SN) for data transmission. The sensor data is finally stored in the cloud for user motion...

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Abstract

The invention relates to a cloud-based intelligent walnut motion mode identification method and system. The method comprises the following steps of: S601, acquiring user motion data in real time by using an internal sensor of an intelligent walnut; S602, carrying out smoothing preprocessing on a constructed time sequence, and carrying out motion trend extraction on the processed time sequence according to a certain interval; S603, respectively calculating the acceleration and angular acceleration in three coordinate axis directions, and carrying out intelligent walnut motion trend correlationanalysis; S604, constructing correlation coefficient characteristics of three coordinate axis direction dimensions according to the intelligent walnut motion trend correlation result calculated in thestep S603; S605, training an action recognition model by utilizing the correlation coefficient characteristics of the three coordinate axis direction dimensions constructed in the step S604; and S606, performing intelligent walnut action recognition on the newly acquired user motion data, and feeding back a recognition result to the user. The method has the advantages that the exercise time and state of the intelligent walnut user are effectively evaluated, and the user is reminded of regular exercise.

Description

【Technical field】 [0001] The invention relates to the technical field of motion recognition of smart wearable devices, in particular to a cloud-based smart walnut motion pattern recognition method and system. 【Background technique】 [0002] With the development of society, the aging of my country's population is becoming more and more serious. With the increase of people's age, their physical fitness declines year by year, which is easy to cause various diseases and affects their daily life. Among these diseases, Alzheimer's is a very common disease. And the probability of developing this disease increases with age. Modern medical research shows that exercise can enhance cardiovascular function, strengthen the cognitive ability of the brain, and delay the progress of Alzheimer's disease. Considering that the elderly are not suitable for strenuous exercise, light and flexible exercises are more likely to be welcomed by the elderly. The researchers proposed that turning wa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A63B23/16A63B23/12A63B71/06A61H39/04G16H20/30G06K9/62
CPCA63B23/16A63B23/12A63B71/0619A61H39/04G16H20/30A63B2071/0691A63B2220/40A63B2220/44A63B2220/803A61H2201/1261A61H2201/1635A61H2201/5084A61H2201/5058A61H2205/065G06F18/2411G06F18/24323G06F18/214
Inventor 金书易丁珺淳
Owner 金书易
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