New Human Pose Recognition System Based On 3D Printing And Fiber Bragg Grating Sensing Technology

In the increasingly scientific and technological environment,wearable devices are still the focus of current research,especially in the identification and monitoring of human body movements.Combining fiber grating sensing technology,3D printing technology and flexible polylactic acid materials for human body motion recognition and monitoring can fully utilize the high precision and high sensitivity of fiber optic sensors,rapid prototyping of 3D printing technology,and flexible polylactic acid materials its flexibility,light weight and other characteristics are a new type of human body motion recognition and monitoring technology.In this paper,fiber grating sensors are used as sensing materials,and flexible polylactic acid materials are used as the substrate for sensing materials.The 3D printing technology is used for rapid prototyping,and human body movements are identified and analyzed to explore the laws of human movement.The main work of this paper can be divided into the following sections.(1)Establish a monitorable system model based on optical fiber sensors: Print a flexible polylactic acid material into a designed model through a 3D printer,and insert the optical fiber sensor into the design groove to complete the sensing system during the printing process.The sensation system theoretically analyzes the relationship between the bending angle and the wavelength change,establishes the mathematical equation of the two,and gives a linear relationship between the bending angle and the wavelength change.(2)Experiments based on the fiber-optic sensor monitoring system: The feasibility of the sensor system was analyzed by performing multiple motion experiments on the subjects.The analysis of the experimental results shows that the sensor can respond well to changes in motion when testing repeated actions and the wavelength change value is stable,and the sensor is repeatable;the standard deviation of 0.041 for the same test results for different subjects performing the same repetitive motion is analyzed.Nm,indicating that the dispersion of test results of different subjects is small,and the correlation analysis between different subjects has a result above 0.905,and the stability and reliability of the sensor are good.For the wavelength change and different bending angle test results,the theoretical model given in the previous section was verified.The sensor wavelength and the bending angle were linear,and the degree of fit was 0.987.In the bending sensor evaluation results,both showed good results from both repeatability and linearity.The screening experiment results of the sensor in the leg monitoring position show that the sensor shows a significant response signal in the inside and back of the leg,and the final monitoring position is determined to be the back side by analysis of variance.(3)The law of movement of human limbs in different motion states and degrees of motion was analyzed,and a regression model of the height and wavelength of leg bending height was established: The measurement results of simulated cylinders with different diameters of the gripped subjects showed that with the bending diameter with the increase,the three-finger sensor’s corresponding wavelength change gradually decreases,which is caused by the greater the diameter of the finger bending is lower;and within the same small diameter,the index finger sensor wavelength changes the most,the middle finger sensor wavelength change is the smallest;at 6cm,the middle finger response is higher than the thumb.This may be because the middle finger is a three-finger joint and the thumb is a two-finger joint.When the diameter is larger,the flexibility is inferior to that of the middle finger.The test results under different motion states show that the faster the slow walking speed,the higher the frequency of the peak wavelength of the sensor and the larger the peak value.In the test of different movement height of the leg.The response of the sensor to the bending height of the leg was analyzed.The results showed that with the increase of the bending height of the leg,the wavelength of the sensor gradually increased linearly.Finally,a regression analysis is performed on the leg bending height and the sensor wavelength variation value,and the regression equation is established as "y=0.129x-1.096".The regression equation and the regression coefficient test are used to obtain a significant result that the regression equation is valid.You can use this regression equation to predict independent or dependent variables.