Design, Simulation and Analysis of MEMS based Piezoresistive Cantilever sensor

Veena, N.; Balachandra, T. C.; Umesh, Suma

doi:10.1016/j.matpr.2017.12.351

Cited by 6 publications

(2 citation statements)

References 3 publications

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“…It integrates USB power supply, memory protection unit (MPU), high-speed embedded memory (512KB flash memory and 80kbram), and enhanced I / O and peripherals connected to two APB buses. The chip has excellent real-time performance, superior efficacy and maximum integration, which is suitable for wearable intelligent devices [5][6].…”

Section: Mems Sensormentioning

confidence: 99%

Simulation of Gymnastics Performance Based on MEMS Sensor

Chen

Kuang

2021

Preprint

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The development and progress of multi-sensor data fusion theory and method also lay the foundation for the research of human posture tracking system based on inertial sensor. This paper mainly studies the simulation of gymnastic performance based on MEMS sensors. In the preprocessing of reducing noise interference, this paper mainly uses median filter to remove signal burr. In this paper, the use of virtual character model for gymnastics performance. The computer receives sensor data from the sink node of the motion capture device through a Bluetooth communication module. The unit calculates the quaternion output from the dynamic link library of sensor data processing, calculates the rotation and coordinate offset of the limb where each sensor node is located, and realizes the real-time rendering of the virtual human model by using the driver of the human model. At the same time, it controls the storage of sensor data, the driving of model and the display of graphical interface. When the gesture action is about to happen, a trigger signal is given to the system to mark the beginning of the action, so as to obtain the initial data of each axis signal of MEMS sensor. When the gesture action is completed, a signal to end the action is given to the system to mark the end of the action, so that the original signal data between the beginning and end of the gesture action can be captured. In order to ensure the normal communication between PS and PL, it is necessary to test the key interface. Because the data received by the SPI acquisition module is irregular, it is unable to verify whether the data is wrong. Therefore, the SPI acquisition module is replaced with an automatic incremental data module, and it is generated into an IP core to build a test platform for testing. The data show that the average measurement errors of x-axis displacement, Y-axis displacement, z-axis displacement and three-dimensional displacement are 8.17%, 7.51%, 9.72% and 8.7%, respectively. The results show that the MEMS sensor can accurately identify the action with high accuracy.

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Section: Mems Sensormentioning

confidence: 99%

Simulation of Gymnastics Performance Based on MEMS Sensor

Chen

Kuang

2021

Preprint

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show abstract

“…Protection unit (MPU), high-speed embedded memory (512KB flash memory and 80KBRAM), and enhanced I/O and peripherals connected to two APB buses. The chip has excellent real-time performance, superior efficiency, and maximum integration and is suitable for use in wearable smart devices [5,6].…”

Section: Mems Sensormentioning

confidence: 99%

Simulation of gymnastics performance based on MEMS sensor

Chen

Kuang

2021

EURASIP J. Adv. Signal Process.

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The development and progress of multi-sensor data fusion theory and methods have also laid the foundation for the research of human body posture tracking system based on inertial sensing. The main research in this paper is the simulation of gymnastics performance based on MEMS sensors. In the preprocessing to reduce noise interference, this paper mainly uses median filtering to remove signal glitches. This article uses virtual character models for gymnastics performances. The computer receives sensor data from the sink node of the motion capture device through a Bluetooth communication module. The unit calculates the quaternion output from the dynamic link library of sensor data processing, calculates the rotation amount and coordinate offset of each sensor node’s limb, and uses the character model to realize the real-time rendering of the virtual character model. At the same time, it controls the storage of sensor data, the drive of the model, and the display of the graphical interface. When a gesture action is about to occur, a trigger signal is given to the system to mark the beginning of the action, so as to obtain the initial data of each axis signal of the MEMS sensor. When the gesture action is completed, give the system a signal to end the action. Mark the end of the action, so that you can capture the original signal data during the beginning and end of the gesture action. In order to ensure the normal communication between PS and PL, it is necessary to test the key interfaces involved. Because the data received by the SPI acquisition module is irregular, it is impossible to verify whether the data is wrong, so the SPI acquisition module is replaced with a module that automatically increments data, and the IP core is generated, and a test platform is built for testing. The data shows that the average measurement error of X-axis displacement of the space tracking system is 8.17%, the average measurement error of Y-axis displacement is 7.51%, the average measurement error of Z-axis displacement is 9.72%, and the average error of three-dimensional space measurement is 8.7%. The results show that the MEMS sensor can accurately recognize the action with high accuracy.

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Double-side microcantilevers as a key to understand the adsorption mechanisms and kinetics of chemical warfare agents on vertically-aligned TiO2 nanotubes

Thomas

Spitzer

2021

Journal of Hazardous Materials

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Design, Simulation and Analysis of MEMS based Piezoresistive Cantilever sensor

Cited by 6 publications

References 3 publications

Simulation of Gymnastics Performance Based on MEMS Sensor

Simulation of Gymnastics Performance Based on MEMS Sensor

Simulation of gymnastics performance based on MEMS sensor

Double-side microcantilevers as a key to understand the adsorption mechanisms and kinetics of chemical warfare agents on vertically-aligned TiO2 nanotubes

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